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    Statystyka medyczna i biostatystyka

2 www.abe.pl

A Handbook of Applied Statistics in Pharmacology

9781578087525 18.10.2012 Oprawa: twarda

£ 57,99

Katsumi Kobayashi

Statistics plays an important role in pharmacology and related subjects such as toxicology and drug discovery and development. Improper statistical tool selection for analyzing the data obtained from studies may result in wrongful interpretation of the performance or safety of drugs. This book communicates statistical tools in simple language. The examples used are similar to those that scientists encounter regularly in their research area. The authors provide cognitive clues for selection of appropriate tools to analyze the data obtained from the studies and explain how to interpret the result of the statistical analysis.

Taylor & Francis

A Mathematical Approach to Multilevel, Multiscale Health Interventions

9781848169968 31.03.2013 Oprawa: twarda

£ 65,00

Rodrick Wallace

This book, based on published studies, takes a unique perspective on the 30-year collapse of pharmaceutical industry productivity in the search for small molecule "magic bullet" interventions. The relentless escalation of inflation-adjusted cost per approved medicine in the United States - from $200 million in 1950 to $1.2 billion in 2010 - has driven industry giants to, at best, slavish imitation in drug design, and at worst, to abandonment of research and embracing of widespread fraud in consumer marketing. The book adapts formalism across a number of disciplines to the strategy for design of mutilevel interventions, focusing, first, on molecular, cellular, and larger scale examples, and extending the argument to the simplifications provided by the dominant role of social and cultural structures and processes in individual and population patterns of health and illness. In place of "magic bullets", we must now apply "magic strategies" that act across both the scale and level of organization. This book provides an introductory roadmap to the new tools that will be needed for the design of such strategies.

World Scientific Publishing

A Practical Guide to Cluster Randomised Trials in Health Services Research

9780470510476 03.02.2012 Oprawa: twarda

£ 50,00

Sandra Eldridge

Cluster randomisedtrials are trials in which groups (or clusters) of individuals are randomly allocated to different forms of treatment. In health care, these trials often compare different ways of managing a disease or promoting healthy living, in contrast to conventional randomised trials which randomise individuals to different treatments, classically comparing new drugs with a placebo. They are increasingly common in health services research. This book addresses the statistical, practical, and ethical issues arising from allocating groups of individuals, or clusters, to different interventions. Key features: Guides readers through the stages of conducting a trial, from recruitment to reporting. Presents a wide range of examples with particular emphasis on trials in health services research and primary care, with both principles and techniques explained. Topics are specifically presented in the order in which investigators think about issues when they are designing a trial. Combines information on the latest developments in the field together with a practical guide to the design and implementation of cluster randomised trials.

Wiley

A Statistical Approach to Genetic Epidemiology

9783527323890 25.03.2010 Oprawa: miękka

£ 65,00

Andreas Ziegler

This is the second edition of the successful textbook written by the prize-winning scientist Andreas Ziegler, former President of the German Region of the International Biometric Society, and Inke R. Konig, who has been teaching the subject over many years. The book gives a comprehensive introduction into the relevant statistical methods in genetic epidemiology. The second edition is thoroughly revised, partly rewritten and includes new chapters on traditional family studies and state-of-the-art genome-wide association studies. The book is ideally suited for advanced students in epidemiology, genetics, statistics, bioinformatics and biomathematics. Like in the first edition, the book contains many problems and solutions. E-learning Platform Edition: The paperback version of this book exclusively comes with an e-learning course created by Friedrich Pahlke. This e-learning course has been developed to complement the book and both provide a unique support tool for teaching the subject.

Wiley

Adaptive and Flexible Clinical Trials

9781439838327 25.08.2011 Oprawa: twarda

£ 59,99

Richard Chin

Adaptive clinical trial designs, unlike traditional fixed clinical trial designs, enable modification of studies in response to the data generated in the course of the trial. This often results in studies that are substantially faster, more efficient, and more powerful. Recent developments in web-based real-time data entry and advances in statistical methods have made adaptive clinical trials much more popular because they have become both more practical and attractive. However, there is paucity of resources that explain the mathematical framework and the practical considerations for adaptive designs without the use of highly technical statistical jargon. Suitable for readers in academia, industry, and government involved in drug development, Adaptive and Flexible Clinical Trials is the first book that comprehensively explains all essential aspects of adaptive clinical trials. Written in an easy-to-understand style aimed at clinicians and other non-statisticians, this book focuses not on the statistical details, but rather on the application of statistical concepts for adaptive clinical trials.

Taylor & Francis

Adaptive Design Methods in Clinical Trials

9781439839874 01.12.2011 Oprawa: twarda

£ 59,99

Shein-Chung Chow

With new statistical and scientific issues arising in adaptive clinical trial design, including the U.S. FDA's recent draft guidance, a new edition of one of the first books on the topic is needed. Adaptive Design Methods in Clinical Trials, Second Edition reflects recent developments and regulatory positions on the use of adaptive designs in clinical trials. It unifies the vast and continuously growing literature and research activities on regulatory requirements, scientific and practical issues, and statistical methodology. New to the Second Edition Along with revisions throughout the text, this edition significantly updates the chapters on protocol amendment and clinical trial simulation to incorporate the latest changes. It also includes five entirely new chapters on two-stage adaptive design, biomarker adaptive trials, target clinical trials, sample size and power estimation, and regulatory perspectives. Following in the tradition of its acclaimed predecessor, this second edition continues to offer an up-to-date resource for clinical scientists and researchers in academia, regulatory agencies, and the pharmaceutical industry.

Taylor & Francis

    Statystyka medyczna i biostatystyka

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Advanced Bayesian Methods for Medical Test Accuracy

9781439838785 22.07.2011 Oprawa: twarda

£ 94,00

Lyle D. Broemeling

Useful in many areas of medicine and biology, Bayesian methods are particularly attractive tools for the design of clinical trials and diagnostic tests, which are based on established information, usually from related previous studies. Advanced Bayesian Methods for Medical Test Accuracy begins with a review of the usual measures such as specificity, sensitivity, positive and negative predictive value, and the area under the ROC curve. Then the scope expands to cover the more advanced topics of verification bias, diagnostic tests with imperfect gold standards, and those for which no gold standard is available. Promoting accuracy and efficiency of clinical trials, tests, and the diagnostic process, this book:

Enables the user to efficiently apply prior information via a WinBUGS package

Presents many ideas for the first time and goes far beyond the two standard references

Integrates reader agreement with different modalities—X-ray, CT Scanners, and more—to study their effect on medical test accuracy

Taylor & Francis

Agricultural Statistical Data Analysis Using Stata

9781466585850 10.07.2013 Oprawa: miękka

£ 49,99

George Boyhan

Practical statistics is a powerful tool often used by agricultural researchers and graduate students in investigating experimental design and analysis. One of the most widely-used statistical analysis software packages for this purpose is Stata. This book provides an introduction to Stata and its use in agricultural research, written in a format that is easy to read and user-friendly for beginners. It opens with a general discussion of statistical software, with additional chapters devoted to data entry and applications of Stata. More advanced topics include the use of Stata in regression analysis and in analyzing data that is typically not normally distributed.

Taylor & Francis

Agricultural Survey Methods

9780470743713 13.04.2010 Oprawa: twarda

£ 85,00

Roberto Benedetti

This book brings together the knowledge of academics and experts to increase the dissemination of the latest developments in agricultural statistics. Conducting a census, setting up frames and registers and using administrative data for statistical purposes are covered and issues arising from sample design and estimation, use of remote sensing, management of data quality and dissemination and analysis of survey data are explored.

Wiley

An Introduction to Bayesian Biostatistics

9781439800089 31.10.2010 Oprawa: twarda

£ 49,99

Valen E. Johnson

With discussions on many recent developments in Bayesian methodologies, An Introduction to Bayesian Biostatistics considers statistical issues in biomedical research, allowing for greater collaborations between biostatisticians and biomedical researchers. The text presents biostatistical methods from a Bayesian perspective. It includes an overview of Bayesian statistics, a discussion of rates and proportions with applications in clinical and other population-based studies, recent developments in clinical trial design, methods for evaluating censored data and diagnostic tests, and problems resulting from multiple comparisons.

Taylor & Francis

An Introduction to Statistics and Data Analysis for Bioinformatics Using R

9781439892367 17.10.2013 Oprawa: twarda

£ 49,99

Sorin Draghici

From the very basics to linear models, this book provides a complete introduction to statistics, data analysis, and R for bioinformatics research and applications. It covers ANOVA, cluster analysis, visualization tools, and machine learning techniques. Suitable for self-study and courses in computational biology, bioinformatics, statistics, and the life sciences, the text also presents examples of microarrays and bioinformatics applications. R code illustrates all of the essential concepts and is available on an accompanying CD-ROM.

Taylor & Francis

An Introduction to Survival Analysis Using Stata

9781597180740 06.10.2010 Oprawa: miękka

£ 49,99

Mario Cleves

An Introduction to Survival Analysis Using Stata, Third Edition provides the foundation to understand various approaches for analyzing time-to-event data. It is not only a tutorial for learning survival analysis but also a valuable reference for using Stata to analyze survival data. Although the book assumes knowledge of statistical principles, simple probability, and basic Stata, it takes a practical, rather than mathematical, approach to the subject. This updated third edition highlights new features of Stata 11, including competing-risks analysis and the treatment of missing values via multiple imputation. Other additions include new diagnostic measures after Cox regression, Stata's new treatment of categorical variables and interactions, and a new syntax for obtaining prediction and diagnostics after Cox regression. After reading this book, you will understand the formulas and gain intuition about how various survival analysis estimators work and what information they exploit. You will also acquire deeper, more comprehensive knowledge of the syntax, features, and underpinnings of Stata's survival analysis routines.

Taylor & Francis

    Statystyka medyczna i biostatystyka

4 www.abe.pl

Analysis of Capture-Recapture Data

9781439836590 15.11.2013 Oprawa: twarda

£ 49,99

Byron J T Morgan (University of Kent, UK

Written for researchers and graduate students in statistics, demography, and the social sciences, this reference provides an overview of capture-recapture—the statistical methods used to estimate population size. It covers model development and examines the technicalities of model diagnostics, an often overlooked aspect in practice. The authors provide examples to demonstrate the statistical nuances that are encountered with complex modeling. They use real-world data sets throughout the text and include stand-alone software programs, such as R and WinBUGS. Chapters contain exercises to assist with reader assimilation of the material.

Taylor & Francis

Analysis of Mixed Data

9781439884713 30.01.2013 Oprawa: twarda

£ 57,99

Alexander R. De Leon

A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods & Applications summarizes the fundamental developments in the field. Case studies are used extensively throughout the book to illustrate interesting applications from economics, medicine and health, marketing, and genetics. Carefully edited for smooth readability and seamless transitions between chapters All chapters follow a common structure, with an introduction and a concluding summary, and include illustrative examples from real-life case studies in developmental toxicology, economics, medicine and health, marketing, and genetics An introductory chapter provides a "wide angle" introductory overview and comprehensive survey of mixed data analysis Blending theory and methodology, this book illustrates concepts via data from different disciplines. Analysis of Mixed Data: Methods & Applications traces important developments, collates basic results, presents terminology and methodologies, and gives an overview of statistical research applications. It is a valuable resource to methodologically interested as well as subject matter-motivated researchers in many disciplines.

Taylor & Francis

Analysis of Variance for Functional Data

9781439862735 11.07.2013 Oprawa: twarda

£ 63,99

Jin-Ting Zhang

This book presents the updated hypothesis testing methods developed in the last decade for FDA The subjects include reconstructing functional observations, Gaussian processes, analysis of variance for functional data, functional linear models, ill-conditioned functional linear models, diagnostics of functional observations, variable selection for functional linear models, Behrens-Fisher problems for functional data, test of equal covariance functions, and surface data analysis.

Taylor & Francis

Analyzing the Large Number of Variables in Biomedical and Satellite Imagery

9780470927144 19.04.2011 Oprawa: miękka

£ 43,50

Phillip I. Good

This book grew out of an online interactive offered through statcourse.com , and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling methods-the bootstrap, decision trees, and permutation tests, before the specialized methods applicable to large arrays could be introduced. As the intended audience for this book consists both of statisticians and of medical and biological research workers as well as all those research workers who make use of satellite imagery including agronomists and meteorologists, the book provides a step-by-step approach to not only the specialized methods needed to analyze the data from microarrays and images, but also to the resampling methods, step-down multi-comparison procedures, multivariate analysis, as well

Wiley

...

Applied Bayesian Hierarchical Methods

9781584887201 19.05.2010 Oprawa: twarda

£ 62,99

Peter D. Congdon

Bayesian methods facilitate the analysis of complex models and data structures. Emphasizing data applications, alternative modeling specifications, and computer implementation, this book provides a practical overview of methods for Bayesian analysis of hierarchical models. It focuses on applications in the health and social sciences, particularly spatial and clinical epidemiology, political science, and econometrics. The text also covers such topics as Bayesian factor analysis and includes a range of worked examples in WinBUGS, BayesX, and R. The author demonstrates not only the flexibility of Bayesian techniques but also the rigor that can be obtained by using Bayesian model checking techniques.

Taylor & Francis

Applied Biostatistics for the Health Sciences

9780470147641 13.01.2010 Oprawa: twarda

£ 86,95

Richard J. Rossi

Biostatistics is quickly becoming one of the most important areas of statistics due to the tremendous increase in health care needs. This book successfully introduces the terminology, concepts, and correct uses and interpretation of biostatistics. It is ideal for practitioners as well as students going into health care fields. Pedagogical features include formulas highlighted in text boxes and chapter summaries that highlight key vocabulary and concepts for the chapter. An accompanying Web site provides both MINITAB(r) and Microsoft(r) Office Excel(r) data files data for the case studies and exercises that are contained in the text.

Wiley

    Statystyka medyczna i biostatystyka

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Applied Linear Models with SAS

9780521761598 10.05.2010 Oprawa: twarda

£ 48,00

Daniel Zelterman

This textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression models and describes other linear models including Poisson regression, logistic regression, proportional hazards regression, and nonparametric regression. Numerous examples drawn from the news and current events with an emphasis on health issues illustrate these concepts. Assuming only a pre-calculus background, the author keeps equations to a minimum and demonstrates all computations using SAS. Most of the programs and output are displayed in a self-contained way, with an emphasis on the interpretation of the output in terms of how it relates to the motivating example. Plenty of exercises conclude every chapter. All of the datasets and SAS programs are available from the book's website, along with other ancillary material.

Cambridge University Press

Applied Meta-Analysis with R

9781466505995 09.07.2013 Oprawa: twarda

£ 57,99

Ding-Geng Chen

This book provides a thorough presentation of meta-analysis for clinical trial data with detailed step-by-step illustrations on implementation in R. The examples are based on actual experience of the authors in many areas of clinical drug development. Actual examples of clinical trials are presented and after understanding the application, the various clinical trial methods inherent in the clinical trials are identified. Presentation reflects a case study approach with R.

Taylor & Francis

Applied Statistics for Network Biology: Methods in Systems Biology

9783527327508 20.04.2011 Oprawa: twarda

£ 115,00

Matthias Dehmer

The book introduces to the reader a number of cutting edge statistical methods which can e used for the analysis of genomic, proteomic and metabolomic data sets. In particular in the field of systems biology, researchers are trying to analyze as many data as possible in a given biological system (such as a cell or an organ). The appropriate statistical evaluation of these large scale data is critical for the correct interpretation and different experimental approaches require different approaches for the statistical analysis of these data. This book is written by biostatisticians and mathematicians but aimed as a valuable guide for the experimental researcher as well computational biologists who often lack an appropriate background in statistical analysis.

Wiley

Artificial Neural Networks in Biological and Environmental Analysis

9781439812587 14.02.2011 Oprawa: twarda

£ 59,99

Grady Hanrahan

Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence research. Catalyzed by the upsurge in computational power and availability, and made widely accessible with the co-evolution of software, algorithms, and methodologies, artificial neural networks have had a profound impact in the elucidation of complex biological, chemical, and environmental processes. Artificial Neural Networks in Biological and Environmental Analysis provides an in-depth and timely perspective on the fundamental, technological, and applied aspects of computational neural networks. Presenting the basic principles of neural networks together with applications in the field, the book stimulates communication and partnership among scientists in fields as diverse as biology, chemistry, mathematics, medicine, and environmental science. This interdisciplinary discourse is essential not only for the success of independent and collaborative research and teaching programs, but also for the continued interest in the use of neural network tools in scientific inquiry.

Taylor & Francis

Bayesian Adaptive Methods for Clinical Trials

9781439825488 20.07.2010 Oprawa: twarda

£ 62,99

Donald A. Berry

Already popular in the analysis of medical device trials, adaptive Bayesian designs are increasingly being used in drug development for a wide variety of diseases and conditions, from Alzheimer's disease and multiple sclerosis to obesity, diabetes, hepatitis C, and HIV. Written by leading pioneers of Bayesian clinical trial designs, Bayesian Adaptive Methods for Clinical Trials explores the growing role of Bayesian thinking in the rapidly changing world of clinical trial analysis. The book first summarizes the current state of clinical trial design and analysis and introduces the main ideas and potential benefits of a Bayesian alternative. It then gives an overview of basic Bayesian methodological and computational tools needed for Bayesian clinical trials. With a focus on Bayesian designs that achieve good power and Type I error, the next chapters present Bayesian tools useful in early (Phase I) and middle (Phase II) clinical trials as well as two recent Bayesian adaptive Phase II studies: the BATTLE and ISPY-2 trials. In the following chapter on late (Phase III) studies, the authors emphasize modern adaptive methods and seamless Phase II-III trials for maximizing information usage and minimizing trial duration.

Taylor & Francis

Bayesian Analysis Made Simple: An Excel GUI for WinBUGS

9781439839546 02.09.2011 Oprawa: twarda

£ 46,99

Phil Woodward

From simple NLMs to complex GLMMs, this book describes how to use the GUI for WinBUGS - BugsXLA - an Excel add-in written by the author that allows a range of Bayesian models to be easily specified. With case studies throughout, the text shows how to routinely apply even the more complex aspects of model specification, such as GLMMs, outlier robust models, random effects Emax models, auto-regressive errors, and Bayesian variable selection. It provides brief, up-to-date discussions of current issues in the practical application of Bayesian methods. The author also explains how to obtain free software to get started immediately.

Taylor & Francis

    Statystyka medyczna i biostatystyka

6 www.abe.pl

Bayesian Biostatistics

9780470018231 27.07.2012 Oprawa: twarda

£ 45,00

Andrew B. Lawson

The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. In addition, computational advances have allowed for more complex models to be fitted routinely to realistic data sets. Through examples, exercises and a combination of introductory and more advanced chapters, this book provides an invaluable understanding of the complex world of biomedical statistics illustrated via a diverse range of applications taken from epidemiology, exploratory clinical studies, health promotion studies, image analysis and clinical trials.

Wiley

Bayesian Disease Mapping

9781466504813 24.04.2013 Oprawa: twarda

£ 57,99

Andrew B. Lawson

Since the publication of the first edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Second Edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping methods and applications. A biostatistics professor and WHO advisor, the author illustrates the use of Bayesian hierarchical modeling in the geographical analysis of disease through a range of real-world datasets. New to the Second Edition Three new chapters on regression and ecological analysis, putative hazard modeling, and disease map surveillance Expanded material on case event modeling and spatiotemporal analysis New and updated examples Two new appendices featuring examples of integrated nested Laplace approximation (INLA) and conditional autoregressive (CAR) models In addition to these new topics, the book covers more conventional areas such as relative risk estimation, clustering, spatial survival analysis, and longitudinal analysis.

Taylor & Francis

Bayesian Inference for Gene Expression and Proteomics

9781107636989 30.04.2012 Oprawa: miękka

£ 30,00

Kim-Anh Do

The interdisciplinary nature of bioinformatics presents a research challenge in integrating concepts, methods, software and multiplatform data. Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high-throughput data, such as proteomic profiles that arise from mass spectrometry experiments. This book discusses the development and application of Bayesian methods in the analysis of high-throughput bioinformatics data that arise from medical, in particular, cancer research, as well as molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into statistical methods. A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation is followed by expert reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discovery and regulatory networks, and Bayesian networks and gene interactions.

Cambridge University Press

Bayesian Methods in Epidemiology

9781466564978 05.11.2013 Oprawa: twarda

£ 57,99

Broemeling

A valuable reference for epidemiologists, biostatisticians, and graduate students, this book presents an introduction to epidemiology that uses Bayesian statistical methods to explore the association between disease and risk. It includes a brief introduction to the concepts of epidemiology, the basic elements of Bayesian statistics, and the types of epidemiologic studies that can be analyzed by Bayesian methods. For each problem in epidemiology, the Bayesian analysis is derived and explained.

Taylor & Francis

Bayesian Methods in Health Economics

9781439895559 16.11.2012 Oprawa: twarda

£ 57,99

Gianluca Baio

Health economics is concerned with the study of the cost-effectiveness of health care interventions. This book provides an overview of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it presents Bayesian statistics using accessible mathematics. The next chapters describe the theory and practice of cost-effectiveness analysis from a statistical viewpoint, and Bayesian computation, notably MCMC. The final chapter presents three detailed case studies covering cost-effectiveness analyses using individual data from clinical trials, evidence synthesis and hierarchical models and Markov models. The text uses WinBUGS and JAGS with datasets and code available online.

Taylor & Francis

Benefit Risk Analysis in Pharmaceutical Research and Development

9781439867945 05.09.2013 Oprawa: twarda

£ 57,99

Sashegyi

This work presents an overview of benefit-risk assessment approaches for pharmaceutical research and development. It covers various decision-making points along the R&D spectrum that would benefit from benefit risk analysis, including during lead development and optimization, early and late planning of clinical development, and regulatory review. The book also looks at health outcomes and comparative effectiveness analysis. In addition, the authors address current and future barriers to using risk-benefit modeling, including greater regulatory acceptance.

Taylor & Francis

    Statystyka medyczna i biostatystyka

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Biosimilars: Design and Analysis of Follow-on Biologics

9781466579699 23.08.2013 Oprawa: twarda

£ 57,99

Shein-Chung Chow

This is the first book entirely devoted to the design and analysis for assessment of biosimilarity and drug interchangeability of biosimilars, and test for comparability in manufacturing processes of biologic products. It covers all of the statistical issues that may occur in biosimilar studies under various study designs at various stages of research and development of biologic products.

Taylor & Francis

Biostatistical Analysis

9780132065023 01.08.2007 Oprawa: miękka

£ 56,99

Jerrold H. Zar

Zar's Biostatistical Analysis, Fifth Edition, is the ideal textbook for graduate and undergraduate students seeking practical coverage of statistical analysis methods used by researchers to collect, summarize, analyze and draw conclusions from biological research. The latest edition of this best-selling textbook is both comprehensive and easy to read. It is suitable as an introduction for beginning students and as a comprehensive reference book for biological researchers and for advanced students. This book is appropriate for a one- or two-semester, junior or graduate-level course in biostatistics, biometry, quantitative biology, or statistics, and assumes a prerequisite of algebra.

Pearson Education

Biostatistical Methods: The Assessment of Relative Risks

9780470508220 25.01.2011 Oprawa: twarda

£ 87,50

John M. Lachin

Praise for the First Edition "...an excellent textbook ...an indispensable reference for biostatisticians and epidemiologists." - International Statistical Institute A new edition of the definitive guide to classical and modern methods of biostatistics Biostatistics consists of various quantitative techniques that are essential to the description and evaluation of relationships among biologic and medical phenomena. Biostatistical Methods: The Assessment of Relative Risks, Second Edition develops basic concepts and derives an expanded array of biostatistical methods through the application of both classical statistical tools and more modern likelihood-based theories. With its fluid and balanced presentation, the book guides readers through the important statistical methods for the assessment of absolute and relative risks in epidemiologic studies and clinical trials with categorical, count, and event-time data. Presenting a broad scope of coverage and the latest research on the topic, the author begins with categorical data analysis methods for cross-sectional, prospective, and retrospective studies of binary, polychotomous, and ordinal data.

Wiley

Biostatistics for the Biological and Health Sciences

9780321546494 23.11.2007 Oprawa: twarda

£ 69,99

Marc Triola

Biostatistics for the Biological and Health Sciences is the result of collaboration between the author of the #1 statistics book in the country and an expert in the biological sciences field. The major objective of this book is to provide the best possible introduction to statistics for students and professors in the biological, life, and health sciences. This goal is realized through a friendly writing style, content that reflects the important features of a modern introductory statistics course, an abundance of real data and biological applications, and a variety of pedagogical components to help students succeed in their study of biological statistics.

Pearson Education

Biostatistics in Action

9781439879849 15.09.2013 Oprawa: twarda

£ 57,99

Florin Vaida (University of California, San Diego,

Designed for medical researchers without a background in statistics, this text takes readers easily from basic boxplots and t-tests to linear and logistic regression and survival analysis to more complex generalized linear and nonlinear models and longitudinal data analysis. With many examples and data drawn from real biomedical research, the book focuses on practical statistical analyses using SPSS. It requires no prior statistical background and only assumes familiarity with elementary mathematics. A solutions manual and figures slides are available with qualifying course adoption.

Taylor & Francis

Biostatistics with R

9781461413011 17.12.2011 Oprawa: miękka

€ 54,95

Babak Shahbaba

Biostatistics with R is designed to mimic the interaction between theory and application in statistics. Most topics are motivated by real examples first, and after discussing a topic, the author shows how it can be applied to the problem that motivated it. Topics include data exploration, estimation, and clustering with two appendices on installing and running R and R-commander. This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is intended for a wide range of readers from people with relatively strong analytical background, who want to learn about statistics and its application in biology, to non-statistician scientists, who use statistical methods in their research.

Springer

    Statystyka medyczna i biostatystyka

8 www.abe.pl

Biostatistics: A Computing Approach

9781584888345 09.01.2012 Oprawa: twarda

£ 41,99

Stewart Anderson

The emergence of high-speed computing has facilitated the development of many exciting statistical and mathematical methods in the last 25 years, broadening the landscape of available tools in statistical investigations of complex data. Biostatistics: A Computing Approach focuses on visualization and computational approaches associated with both modern and classical techniques. Furthermore, it promotes computing as a tool for performing both analyses and simulations that can facilitate such understanding. As a practical matter, programs in R and SAS are presented throughout the text. In addition to these programs, appendices describing the basic use of SAS and R are provided. Teaching by example, this book emphasizes the importance of simulation and numerical exploration in a modern-day statistical investigation. A few statistical methods that can be implemented with simple calculations are also worked into the text to build insight about how the methods really work.

Taylor & Francis

Biosurveillance: Methods and Case Studies

9781439800461 05.11.2010 Oprawa: twarda

£ 62,99

Taha Kass-Hout

Biosurveillance: Methods and Case Studies addresses the problems and promise of timely biosurveillance, with a particular focus on the role it must play. It describes a general concept of operations with reference information system architecture and investigates the primary assumptions that are needed to assure the success of a biosurveillance initiative. Numerous case studies focus on local, regional, and national implementation. The book also explores future innovations in biosurveillance, including advances in analytical methods, modeling, and simulation.

Taylor & Francis

Causal Inference

9781420076165 05.08.2013 Oprawa: twarda

£ 31,99

Miguel A. Hernan

The application of causal inference methods is growing exponentially in fields that deal with observational data. Written by pioneers in the field, this practical book presents an authoritative yet accessible overview of the methods and applications of causal inference. With a wide range of detailed, worked examples using real epidemiologic data as well as software for replicating the analyses, the text provides a thorough introduction to the basics of the theory for non-time-varying treatments and the generalization to complex longitudinal data.

Taylor & Francis

Clinical Trial Data Analysis Using R

9781439840207 17.12.2010 Oprawa: twarda

£ 59,99

Ding-Geng (Din) Chen

Too often in biostatistical research and clinical trials, a knowledge gap exists between developed statistical methods and the applications of these methods. Filling this gap, Clinical Trial Data Analysis Using R provides a thorough presentation of biostatistical analyses of clinical trial data and shows step by step how to implement the statistical methods using R. The book's practical, detailed approach draws on the authors' 30 years of real-world experience in biostatistical research and clinical development. Each chapter presents examples of clinical trials based on the authors' actual experiences in clinical drug development. Various biostatistical methods for analyzing the data are then identified. The authors develop analysis code step by step using appropriate R packages and functions. This approach enables readers to gain an understanding of the analysis methods and R implementation so that they can use R to analyze their own clinical trial data. With step-by-step illustrations of R implementations, this book shows how to easily use R to simulate and analyze data from a clinical trial.

Taylor & Francis

Clinical Trial Design

9780470581711 09.02.2012 Oprawa: twarda

£ 76,95

Guosheng Yin

A balanced treatment of the theories, methodologies, and design issues involved in clinical trials using statistical methods There has been enormous interest and development in Bayesian adaptive designs, especially for early phases of clinical trials. However, for phase III trials, frequentist methods still play a dominant role through controlling type I and type II errors in the hypothesis testing framework. From practical perspectives, Clinical Trial Design: Bayesian and Frequentist Adaptive Methods provides comprehensive coverage of both Bayesian and frequentist approaches to all phases of clinical trial design. Before underpinning various adaptive methods, the book establishes an overview of the fundamentals of clinical trials as well as a comparison of Bayesian and frequentist statistics. Recognizing that clinical trial design is one of the most important and useful skills in the pharmaceutical industry, this book provides detailed discussions on a variety of statistical designs, their properties, and operating characteristics for phase I, II, and III clinical trials as well as an introduction to phase IV trials. Many practical issues and challenges arising in clinical trials are addressed.

Wiley

Clinical Trial Methodology

9781584889175 20.07.2010 Oprawa: twarda

£ 62,99

Karl E. Peace

Drawing from the authors' courses on the subject as well as the first author's more than 30 years working in the pharmaceutical industry, "Clinical Trial Methodology" emphasizes the importance of statistical thinking in clinical research and presents the methodology as a key component of clinical research. From ethical issues and sample size considerations to adaptive design procedures and statistical analysis, the book first covers the methodology that spans every clinical trial regardless of the area of application. Bioequivalence clinical trials are then discussed. The final chapters incorporate real-world case studies of clinical trials from the authors' own experiences.

Taylor & Francis

    Statystyka medyczna i biostatystyka

www.abe.pl 9

Clinical Trials Dictionary

9781118295151 28.09.2012 Oprawa: twarda

£ 90,50

Curtis L. Meinert

A thoroughly updated new edition of the essential reference on the design, practice, and analysis of clinical trials Clinical Trials Dictionary: Terminology and Usage Recommendations, Second Edition presents clear, precise, meticulously detailed entries on all aspects of modern-day clinical trials. Written and compiled by one of the world's leading clinical trialists, this comprehensive volume incorporates areas of medicine, statistics, epidemiology, computer science, and bioethics--providing a treasure trove of key terms and ideas. This new edition continues to supply readers with the A--Z terminology needed to design, conduct, and analyze trials, introducing a vocabulary for the characterization and description of related features and activities. More than 300 new entries are now included, reflecting the current usage practices and conventions in the field, along with usage notes with recommendations on when to use the term in question. Detailed biographical notes highlight prominent historical figures and institutions in the field, and an extensive bibliography has been updated to provide readers with additional resources for further study.

Wiley

Clinical Trials Handbook

9781118218464 11.12.2012 Oprawa: twarda

£ 100,00

Curtis L. Meinert

The success or failure of clinical trials hinges on hundreds of details that need to be developed, often under less than ideal conditions. Written by one of the world's leading trialists, Clinical Trials Handbook: Design and Conduct provides clinicians with a complete guide to designing, conducting, and evaluating clinical trials—teaching them how to simplify the process and avoid costly mistakes. The author draws on his extensive clinical trials experience to outline all steps employed in setting up and running clinical trials, from budgeting and fundraising to publishing the results. Along the way, practical advice is offered while also addressing a mix of logistical, ethical, psychological, behavioral, and administrative issues inherent to clinical trials. Topics of coverage include:

Protocols for drug masking, controls, and treatment randomization

Consent, enrollment, eligibility, and follow-up procedures

Different types of sample size design and data collection and processing

Working with study centers, research staff, and various committees

Wiley

Clinical Trials in Oncology

9781439814482 30.05.2012 Oprawa: twarda

£ 63,99

John Crowley

The third edition of the bestselling Clinical Trials in Oncology provides a concise, nontechnical, and thoroughly up-to-date review of methods and issues related to cancer clinical trials. The authors emphasize the importance of proper study design, analysis, and data management and identify the pitfalls inherent in these processes. In addition, the book has been restructured to have separate chapters and expanded discussions on general clinical trials issues, and issues specific to Phases I, II, and III. New sections cover innovations in Phase I designs, randomized Phase II designs, and overcoming the challenges of array data. Although this book focuses on cancer trials, the same issues and concepts are important in any clinical setting. As always, the authors use clear, lucid prose and a multitude of real-world examples to convey the principles of successful trials without the need for a strong statistics or mathematics background. Armed with Clinical Trials in Oncology, Third Edition, clinicians and statisticians can avoid the many hazards that can jeopardize the success of a trial.

Taylor & Francis

Clustering in Bioinformatics and Drug Discovery

9781439816783 16.11.2010 Oprawa: twarda

£ 56,99

John David MacCuish

This book presents an introduction to cluster analysis and algorithms in the context of drug discovery clustering applications. It provides the key to understanding applications in clustering large combinatorial libraries (in the millions of compounds) for compound acquisition, HTS results, 3D lead hopping, gene expression for toxicity studies, and protein reaction data. Bringing together common and emerging methods, the text covers topics peculiar to drug discovery data, such as asymmetric measures and asymmetric clustering algorithms as well as clustering ambiguity and its relation to fuzzy clustering and overlapping clustering algorithms.

Taylor & Francis

Comparing Clinical Measurement Methods

9780470694237 06.08.2010 Oprawa: twarda

£ 54,95

Bendix Carstensen

This book provides a practical guide to analysis of simple and complex method comparison data, using Stata, SAS and R. It takes the classical Limits of Agreement as a starting point, and presents it in a proper statistical framework. The model serves as a reference for reporting sources of variation and for providing conversion equations and plots between methods for practical use, including prediction uncertainty. Presents a modeling framework for analysis of data and reporting of results from comparing measurements from different clinical centers and/or different methods. Provides the practical tools for analyzing method comparison studies along with guidance on what to report and how to plan comparison studies and advice on appropriate software. Illustrated throughout with computer examples in R. Supported by a supplementary website hosting an R-package that performs the major part of the analyses needed in the area. Examples in SAS and Stata for the most common situations are also provided.

Wiley

Comparing Groups: Randomization and Bootstrap Methods Using R

9780470621691 01.07.2011 Oprawa: twarda

£ 55,50

Andrew S. Zieffler

A hands-on guide to using R to carry out key statistical practices in educational and behavioral sciences research Computing has become an essential part of the day-to-day practice of statistical work, broadening the types of questions that can now be addressed by research scientists applying newly derived data analytic techniques. Comparing Groups: Randomization and Bootstrap Methods Using R emphasizes the direct link between scientific research questions and data analysis. Rather than relying on mathematical calculations, this book focus on conceptual explanations and the use of statistical computing in an effort to guide readers through the integration of design, statistical methodology, and computation to answer specific research questions regarding group differences. Utilizing the widely-used, freely accessible R software, the authors introduce a modern approach to promote methods that provide a more complete understanding of statistical concepts. Following an introduction to R, each chapter is driven by a research question, and empirical data analysis is used to provide answers to that question.

Wiley

    Statystyka medyczna i biostatystyka

10 www.abe.pl

Controversial Statistical Issues in Clinical Trials

9781439849613 22.06.2011 Oprawa: twarda

£ 66,99

Shein-Chung Chow

In clinical trial practice, controversial statistical issues inevitably occur regardless of the compliance with good statistical practice and good clinical practice. But by identifying the causes of the issues and correcting them, the study objectives of clinical trials can be better achieved. Controversial Statistical Issues in Clinical Trials covers commonly encountered controversial statistical issues in clinical trials and, whenever possible, makes recommendations to resolve these problems. The book focuses on issues occurring at various stages of clinical research and development, including early-phase clinical development (such as bioavailability/bioequivalence), bench-to-bedside translational research, and late-phase clinical development. Numerous examples illustrate the impact of these issues on the evaluation of the safety and efficacy of the test treatment under investigation. The author also offers recommendations regarding possible resolutions of the problems. Written by one of the preeminent experts in the field, this book provides a useful desk reference and state-of-the art examination of problematic issues in clinical trials for scientists in the pharmaceutical industry, medical/statistical reviewers in government regulatory

Taylor & Francis

...

Correlated Frailty Models in Survival Analysis

9781420073881 03.08.2010 Oprawa: twarda

£ 69,99

Andreas Wienke

The concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its simplest form, frailty is an unobserved random proportionality factor that modifies the hazard function of an individual or a group of related individuals. Frailty Models in Survival Analysis presents a comprehensive overview of the fundamental approaches in the area of frailty models. The book extensively explores how univariate frailty models can represent unobserved heterogeneity. It also emphasizes correlated frailty models as extensions of univariate and shared frailty models. The author analyzes similarities and differences between frailty and copula models; discusses problems related to frailty models, such as tests for homogeneity; and describes parametric and semiparametric models using both frequentist and Bayesian approaches. He also shows how to apply the models to real data using the statistical packages of R, SAS, and Stata. The appendix provides the technical mathematical results used throughout.

Taylor & Francis

Data Analysis and Statistics for Geography, Environmental Science & Engineering

9781439885017 28.12.2012 Oprawa: twarda

£ 63,99

Miguel F. Acevedo

Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustainability, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines. Learn How to Use a Variety of Data Analysis and Statistics Methods Based on the author's many years of teaching graduate and undergraduate students, this textbook emphasizes hands-on learning. Organized into two parts, it allows greater flexibility using the material in various countries and types of curricula. The first part covers probability, random variables and inferential statistics, applications of regression, time series analysis, and analysis of spatial point patterns. The second part uses matrix algebra to address multidimensional problems.

Taylor & Francis

Data Analysis in Forensic Science

9780470998359 09.04.2010 Oprawa: twarda

£ 55,00

Franco Taroni

This is the first text to examine the use of statistical methods in forensic science and bayesian statistics in combination. The book is split into two parts: Part One concentrates on the philosophies of statistical inference. Chapter One examines the differences between the frequentist, the likelihood and the Bayesian perspectives, before Chapter Two explores the Bayesian decision-theoretic perspective further, and looks at the benefits it carries. Part Two then introduces the reader to the practical aspects involved: the application, interpretation, summary and presentation of data analyses are all examined from a Bayesian decision-theoretic perspective. A wide range of statistical methods, essential in the analysis of forensic scientific data is explored. These include the comparison of allele proportions in populations, the comparison of means, the choice of sampling size, and the discrimination of items of evidence of unknown origin into predefined populations. Throughout this practical appraisal there are a wide variety of examples taken from the routine work of forensic scientists. These applications are demonstrated in the ever-more popular R language.

Wiley

Design and Analysis of Bridging Studies

9781439846346 08.08.2012 Oprawa: twarda

£ 63,99

Chin-Fu Hsiao

As the development of medicines has become more globalized, the geographic variations in the efficacy and safety of pharmaceutical products need to be addressed. To accelerate the product development process and shorten approval time, researchers are beginning to design multiregional trials that incorporate subjects from many countries around the world under the same protocol. Design and Analysis of Bridging Studies addresses the issues arising from bridging studies and multiregional clinical trials. For bridging studies, the book explores ethnic sensitivity, the necessity of bridging studies, types of bridging studies, and the assessment of similarity between regions based on bridging evidence. For multiregional clinical trials, the text considers regional differences, assesses the consistency of treatment effect across regions, and discusses sample size determination for each region. Taking into account the International Conference Harmonisation (ICH) E5 framework for bridging studies, the book provides a unified summary of the growing literature and research activities in this area.

Taylor & Francis

Design and Analysis of Experiments in the Health Sciences

9780470127278 29.01.2010 Oprawa: twarda

£ 40,50

Gerald Van Belle

An accessible and practical approach to the design and analysis of experiments in the health sciences Design and Analysis of Experiments in the Health Sciences provides a balanced presentation of design and analysis issues relating to data in the health sciences and emphasizes new research areas, the crucial topic of clinical trials, and state-of-the- art applications. Advancing the idea that design drives analysis and analysis reveals the design, the book clearly explains how to apply design and analysis principles in animal, human, and laboratory experiments while illustrating topics with applications and examples from randomized clinical trials and the modern topic of microarrays. The authors outline the following five types of designs that form the basis of most experimental structures: Completely randomized designs Randomized block designs Factorial designs Multilevel experiments Repeated measures designs A related website features a wealth of data sets that are used throughout the book, allowing readers to work hands-on with the material. In addition, an extensive bibliography outlines additional resources for further study of the presented topics.

Wiley

    Statystyka medyczna i biostatystyka

www.abe.pl 11

Design and Analysis of Non-inferiority Trials

9781584888048 13.07.2011 Oprawa: twarda

£ 59,99

Mark D. Rothmann

The increased use of non-inferiority analysis has been accompanied by a proliferation of research on the design and analysis of non-inferiority studies. "Design and Analysis of Non-Inferiority Trials" brings together this body of research and confronts the issues involved in the design of a non-inferiority trial. Using examples from real clinical trials, the book discusses general and regulatory issues and illustrates how they affect analysis. Each chapter begins with a non-technical introduction, so the subject is easily understood by those without prior knowledge of non-inferiority clinical trials. This book also provides detailed mathematical approaches along with their mathematical properties.

Taylor & Francis

Design and Analysis of Quality of Life Studies in Clinical Trials

9781420061178 07.01.2010 Oprawa: twarda

£ 62,99

Diane L. Fairclough

Focusing on longitudinal studies, Design and Analysis of Quality of Life Studies in Clinical Trials, Second Edition addresses design and analysis aspects in enough detail so that readers can apply statistical methods, such as mixed effect models, to their own studies. The author illustrates the implementation of the methods using the statistical software packages SAS, SPSS, and R. New to the Second Edition

Data sets available for download online, allowing readers to replicate the analyses presented in the text

New chapter on testing models that involve moderation and mediation

Revised discussions of multiple comparisons procedures that focus on the integration of health-related quality of life (HRQoL) outcomes with other study outcomes using gatekeeper strategies

Recent methodological developments for the analysis of trials with missing data

New chapter on quality adjusted life-years (QALYs) and QTWiST specific to clinical trials

Taylor & Francis

Design of Experiments and Linear Regression in the Biological Sciences

9781439808788 05.09.2013 Oprawa: twarda

£ 49,99

Salvador Alejandro Gezan

Written in simple language with relevant examples, this illustrative introductory book presents best practices in experimental design and simple data analysis. Taking a practical and intuitive approach, it only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat(R) statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R.

Taylor & Francis

Dose Finding by the Continual Reassessment Method

9781420091519 09.03.2011 Oprawa: twarda

£ 52,99

Ying Kuen Cheung

As clinicians begin to realize the important role of dose-finding in the drug development process, there is an increasing openness to "novel" methods proposed in the past two decades. In particular, the Continual Reassessment Method (CRM) and its variations have drawn much attention in the medical community, though it has yet to become a commonplace tool. To overcome the status quo in phase I clinical trials, statisticians must be able to design trials using the CRM in a timely and reproducible manner. A self-contained theoretical framework of the CRM for researchers and graduate students who set out to learn and do research in the CRM and dose-finding methods in general, Dose Finding by the Continual Reassessment Method features: Real clinical trial examples that illustrate the methods and techniques throughout the book Detailed calibration techniques that enable biostatisticians to design a CRM in timely manner Limitations of the CRM are outlined to aid in correct use of method This book supplies practical, efficient dose-finding methods based on cutting edge statistical research.

Taylor & Francis

Encyclopaedic Companion to Medical Statistics

9780470684191 17.12.2010 Oprawa: twarda

£ 65,00

Brian S. Everitt

Statistical methodology is of great importance to medical research and clinical practice. The Encyclopaedic Companion to Medical Statistics contains readable accounts of the key topics central to current research and practice. Each entry has been written by an individual chosen for both their expertise in the field and their ability to communicate statistical concepts successfully to medical researchers. Real examples from the biomedical literature and relevant illustrations feature in many entries and extensive cross-referencing signposts the reader to related entries. Key Features: Contains accounts of over 400 statistical topics central to current medical research. 80# of first edition entries updated and revised. Presents the latest techniques used at the cutting edge of medical research. Covers common errors in statistical analyses in medicine. Real examples from the biomedical literature and relevant illustrations feature throughout. Contains contributions from over 70 experts in the field. Medical researchers, researchers and practitioners in medical research and statistics will benefit greatly from this book.

Wiley

Encyclopedia of Biopharmaceutical Statistics

9781439822456 20.05.2010 Oprawa: twarda

£ 540,00

Shein-Chung Chow

Available in both print and online versions, this is the definitive statistics reference for biopharmaceutical research and manufacturing, presenting current standards and best practices for the laboratory, manufacturing, and statistical design, investigation, and analysis. Thoroughly exploring emerging technologies, concepts, and trends, this second edition incorporates 69 new sections on subjects ranging from in vitro bioequivalence testing and dissolution profile comparison to bridging studies, MedDRA, vaccine clinical trials, and medical devices. It reviews recent amendments to regulatory requirements and presents newer statistical methods applicable to the drug development, review, and approval processes.

Taylor & Francis

    Statystyka medyczna i biostatystyka

12 www.abe.pl

Encyclopedia of Environmetrics

9780470973882 30.10.2012 Oprawa: twarda

£ 1090,00

Abdel H. El-Shaarawi

This is an expanded and revised edition of an essential reference work for university libraries, research laboratories, government institutions and consultancies concerned with the environmental sciences. The Encyclopedia offers comprehensive coverage of the wide range of topics, techniques and applications that comprise this multidisciplinary field. Key features of the new edition: * Expanded to six volumes to reflect developments in Environmetrics techniques and applications during past decade* Over 60% of articles in this edition are new or revised* A new section: Environmental Engineering and Technology* Increased breadth and depth of coverage in key application areas such as climate science and hydrological processes* Revised and updated treatment of methodology including spatial-temporal statistics, computational statistics and modeling extremes* Greater emphasis on practitioner oriented content. Publishing in both print and online the Encyclopedia will be an invaluable aid to researchers, lecturers, students, consultants and policymakers engaged in ecological statistics, climate change, geostatistics, natural resources, risk assessment, environmental health, physical

Wiley

...

Environmental Statistics with R, Second Edition

9781439810279 17.10.2013 Oprawa: twarda

£ 57,99

Steven P Millard (Consultant, Seattle, Washing-

Condensed and reorganized, this comprehensive second edition covers most of the statistical methods used in the field and now features the use of both R and S-Plus software. Continuing to emphasize lognormal distributions, censored data, and computing, this edition includes additional material on equivalence testing. It also illustrates environmental sampling designs using the public domain package VSP. In addition, the authors provide a detailed discussion of spatial mapping procedures and spatial mapping analysis in R. Along with updated problem sets and new examples, this edition contains numerous new references that bring the research up to date.

Taylor & Francis

Epidemiology

9781439839706 06.12.2013 Oprawa: twarda

£ 49,99

Woodward

Building an up-to-date understanding of the methodologies that can be used to shape public health policies, Epidemiology: Study Design and Data Analysis, Second Edition encompasses the study of epidemiology from the observation of associations between risk factors and disease to the use of practical, data-supported analyses. It presents study designs commonly used for a wide range of purposes, and covers the spectrum of statistical principles and analytical tools used in epidemiological research, such as techniques used in report writing, descriptive analyses, statistical models and synthesis of evidence. New Material in This Edition Includes:

Systematic evaluation

Meta-analysis

Regression dilution

Case-cohort studies

Case-crossover studies

Taylor & Francis

Epidemiology Foundations: The Science of Public Health

9780470402894 25.01.2011 Oprawa: miękka

£ 50,00

Peter J. Fos

Epidemiology Foundations is an accessible introduction to epidemiology. This comprehensive resource covers the topic including information on its foundations, history, health and disease, descriptive epidemiology, measurement, study designs, uses, epidemics, social epidemiology, screening, community health, and global health. This book has been developed to closely respond to recommendations by the Consensus Conference on Undergraduate Public Health Education and is designed for use an introductory text for a course in epidemiology or in any class that features the topic epidemiology.

Wiley

Equivalency and Noninferiority Testing in Clinical Trials

9781466561496 06.10.2013 Oprawa: twarda

£ 49,99

Tie-Hua Ng

This book focuses on the rationale of choosing the noninferiority (NI) margin as a small fraction of the therapeutic effect of the active control in a clinical trial. It discusses issues of estimating the effect size based on historical placebo control trials of the active control. The book also covers basic concepts related to NI trials, such as essay sensitivity, constancy assumption, discounting, and preservation. Other topics described include patient populations, three-arm trials, and testing equivalence of three or more groups.

Taylor & Francis

Essential Mathematics and Statistics for Forensic Science

9780470742532 16.04.2010 Oprawa: miękka

£ 27,50

Craig Adam

This text is an accessible, student-friendly introduction to the wide range of mathematical and statistical tools needed by the forensic scientist in the analysis, interpretation and presentation of experimental measurements. From a basis of high school mathematics, the book develops essential quantitative analysis techniques within the context of a broad range of forensic applications. This clearly structured text focuses on developing core mathematical skills together with an understanding of the calculations associated with the analysis of experimental work, including an emphasis on the use of graphs and the evaluation of uncertainties. Through a broad study of probability and statistics, the reader is led ultimately to the use of Bayesian approaches to the evaluation of evidence within the court. In every section, forensic applications such as ballistics trajectories, post-mortem cooling, aspects of forensic pharmacokinetics, the matching of glass evidence, the formation of bloodstains and the interpretation of DNA profiles are discussed and examples of calculations are worked through. In every chapter there are numerous self-assessment problems to aid student learning.

Wiley

    Statystyka medyczna i biostatystyka

www.abe.pl 13

Evidence Synthesis for Decision Making in Healthcare

9780470061091 11.05.2012 Oprawa: twarda

£ 45,00

Alexander J. Sutton

In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are beneficial, are superior to all alternatives and are cost-effective. Usually one study will not provide answers to these questions and it will be necessary to synthesize evidence from multiple sources. This book aims to outline a coherent approach to such evidence synthesis, for the purpose of decision making. Each chapter contains worked examples, exercises and solutions drawn from a variety of medical disciplines Evidence Syntesis for Decision Making intends to provide a practical guide to the appropriate methods for synthesizing evidence for use in analytical decision models. More specifically, it proposes a comprehensive evidence synthesis framework, which models all the available data appropriately and efficiently in a format that can be incorporated directly into a decision model.

Wiley

Exercises and Solutions in Biostatistical Theory

9781584887225 02.11.2010 Oprawa: miękka

£ 25,99

Lawrence L. Kupper

Drawn from nearly four decades of Lawrence L. Kupper's teaching experiences as a distinguished professor in the Department of Biostatistics at the University of North Carolina, Exercises and Solutions in Biostatistical Theory presents theoretical statistical concepts, numerous exercises, and detailed solutions that span topics from basic probability to statistical inference. The text links theoretical biostatistical principles to real-world situations, including some of the authors' own biostatistical work that has addressed complicated design and analysis issues in the health sciences. This classroom-tested material is arranged sequentially starting with a chapter on basic probability theory, followed by chapters on univariate distribution theory and multivariate distribution theory. The last two chapters on statistical inference cover estimation theory and hypothesis testing theory. Each chapter begins with an in-depth introduction that summarizes the biostatistical principles needed to help solve the exercises. Exercises range in level of difficulty from fairly basic to more challenging (identified with asterisks).

Taylor & Francis

Exercises and Solutions in Statistical Theory

9781466572898 24.05.2013 Oprawa: miękka

£ 38,99

Lawrence L. Kupper

Designed for teaching a course in statistical theory in a variety of disciplines, including statistics, biostatistics, mathematics, engineering, physics, computer science, and psychometrics, this book contains two main sections: Probability and Distribution Theory and Statistical Inference. The first contains exercises and selected solutions in probability theory, univariate distribution theory, and multivariate distribution theory. The second contains exercises and selected solutions in estimation theory and hypothesis testing theory. The exercises vary in difficulty from basic to intermediate to advanced and solutions for about half the exercises are included, with a separate solutions manual with detailed solutions made available for instructors.

Taylor & Francis

Expect the Unexpected: A First Course in Biostatistics

9789814291323 31.08.2010 Oprawa: twarda

£ 39,00

Raluca Balan

Statistical reasoning and modeling are of critical importance to modern biology. This textbook introduces fundamental concepts from probability and statistics which will pave the way for the student of biology to become a well-rounded scientist. No previous study of probability or statistics is assumed. Calculus topics are not used extensively in this book, though some integration and differentiation are expected. The calculus prerequisite is primarily intended to assure a certain level of mathematical maturity. This book puts emphasis on examples, which are presented to motivate the theory. The presentation style is concise and self-contained, briefly including the mathematical elements that are needed for studying probability and statistics. The examples are relevant to students in the life sciences with interests in genetics, biology, ecology, health, etc. We believe that aspects of probability theory are of biological interest and that probability underlies the theory of inferential statistics. Thus, we place an equal emphasis on probability and statistics which are both essential for solving and understanding many types of biological problems.

World Scientific Publishing

Exploratory Multivariate Analysis by Example Using R

9781439835807 17.11.2010 Oprawa: twarda

£ 56,99

Francois Husson

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, and hierarchical cluster analysis. The authors take a geometric point of view that provides a unified vision for exploring multivariate data tables. Within this framework, they present the principles, indicators, and ways of representing and visualizing objects that are common to the exploratory methods. The authors show how to use categorical variables in a PCA context in which variables are quantitative, how to handle more than two categorical variables in a CA context in which there are originally two variables, and how to add quantitative variables in an MCA context in which variables are categorical. They also illustrate the methods and the ways they can be exploited using examples from various fields.

Taylor & Francis

Flexible Imputation of Missing Data

9781439868249 19.04.2012 Oprawa: twarda

£ 57,99

Stef Van Buuren

Missing data form a problem in every scientific discipline, yet the techniques required to handle them are complicated and often lacking. One of the great ideas in statistical science—multiple imputation—fills gaps in the data with plausible values, the uncertainty of which is coded in the data itself. It also solves other problems, many of which are missing data problems in disguise. Flexible Imputation of Missing Data is supported by many examples using real data taken from the author's vast experience of collaborative research, and presents a practical guide for handling missing data under the framework of multiple imputation. Furthermore, detailed guidance of implementation in R using the author’s package MICE is included throughout the book.

Taylor & Francis

    Statystyka medyczna i biostatystyka

14 www.abe.pl

Forward-Time Population Genetics Simulations

9780470503485 21.04.2010 Oprawa: miękka

£ 60,50

Bo Peng

The rapid increase of the power of personal computers has led to the use of serious simulation programs such as easy POP in genetic studies. This book summarizes recent advances in forward-time simulation methods and demonstrates their applications in population genetics and genetic epidemiology. The authors introduce commonly used forward-time population genetics simulation methods, including some new methods, and introduce a forward-time population genetics simulation environment, simuPOP, as a powerful and flexible tool to implement these simulations. Researchers and students in population and statistical genetics will find this book useful.

Wiley

Foundational Statistics for Biologists: A Textbook with R

9781439873380 15.10.2013 Oprawa: twarda

£ 44,99

Ken A Aho (Idaho State University, Pocatello,

Taking a biological perspective, this text provides an introduction to foundational topics in science, probability, and mathematical statistics for advanced undergraduate and graduate students in biology and related fields. It offers comprehensive background material in probability and mathematical statistics, emphasizing Bayesian methods and biological applications throughout. The author discusses relevant issues in the philosophy of science as well as the design of effective experiments. He also uses an R package specifically developed to demonstrate ideas presented in the book.

Taylor & Francis

Fundamentals of Clinical Trials

9781441915856 21.09.2010 Oprawa: miękka

€ 52,95

Lawrence M. Friedman

This is the fourth edition of a very successful textbook on clinical trials methodology, written by three recognized experts who have long and extensive experience in all areas of clinical trials. Most chapters have been revised considerably from the third edition. A chapter on ethics has been added and topics such as noninferiority and adaptive designs now receive considerable discussion. There is much new material on adverse events, adherence, data monitoring, and issues in analysis. This book is intended for the clinical researcher who is interested in designing a clinical trial and developing a protocol. It is also of value to researchers and practitioners who must critically evaluate the literature of published clinical trials and assess the merits of each trial and the implications for the care and treatment of patients. The authors use numerous examples of published clinical trials from a variety of medical disciplines to illustrate the fundamentals. The text is organized sequentially from defining the question to trial closeout. One chapter is devoted to each of the critical areas to aid the clinical trial researcher.

Springer

Gaussian Process Regression Analysis for Functional Data

9781439837733 05.07.2011 Oprawa: twarda

£ 66,99

Jian Qing Shi

Gaussian Process Regression Analysis for Functional Data presents nonparametric statistical methods for functional regression analysis, specifically the methods based on a Gaussian process prior in a functional space. The authors focus on problems involving functional response variables and mixed covariates of functional and scalar variables. Covering the basics of Gaussian process regression, the first several chapters discuss functional data analysis, theoretical aspects based on the asymptotic properties of Gaussian process regression models, and new methodological developments for high dimensional data and variable selection. The remainder of the text explores advanced topics of functional regression analysis, including novel nonparametric statistical methods for curve prediction, curve clustering, functional ANOVA, and functional regression analysis of batch data, repeated curves, and non-Gaussian data. Many flexible models based on Gaussian processes provide efficient ways of model learning, interpreting model structure, and carrying out inference, particularly when dealing with large dimensional functional data.

Taylor & Francis

Generalized Estimating Equations

9781439881132 07.01.2013 Oprawa: twarda

£ 57,99

James W. Hardin

Generalized Estimating Equations, Second Edition updates the best-selling previous edition, which has been the standard text on the subject since it was published a decade ago. Combining theory and application, the text provides readers with a comprehensive discussion of GEE and related models. Numerous examples are employed throughout the text, along with the software code used to create, run, and evaluate the models being examined. Stata is used as the primary software for running and displaying modeling output; associated R code is also given to allow R users to replicate Stata examples. Specific examples of SAS usage are provided in the final chapter as well as on the book’s website. This second edition incorporates comments and suggestions from a variety of sources, including the Statistics.com course on longitudinal and panel models taught by the authors. Other enhancements include an examination of GEE marginal effects; a more thorough presentation of hypothesis testing and diagnostics, covering competing hierarchical models; and a more detailed examination of previously discussed subjects.

Taylor & Francis

Generalized Linear Mixed Models

9781439815120 19.10.2012 Oprawa: twarda

£ 57,99

Walter W. Stroup

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the generalized linear mixed model (GLMM) as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how linear models fit with the rest of the core statistics curriculum and points out the major issues that statistical modelers must consider. Along with describing common applications of GLMMs, the text introduces the essential theory and main methodology associated with linear models that accommodate random model effects and non-Gaussian data. Unlike traditional linear model textbooks that focus on normally distributed data, this one adopts a generalized mixed model approach throughout: data for linear modeling need not be normally distributed and effects may be fixed or random. With numerous examples using SAS(R) PROC GLIMMIX, this book is ideal for graduate students in statistics, statistics professionals seeking to update their knowledge, and researchers new to the generalized linear model thought process.

Taylor & Francis

    Statystyka medyczna i biostatystyka

www.abe.pl 15

Generalized Linear Models and Extensions

9781597181051 06.07.2012 Oprawa: miękka

£ 49,99

James W. Hardin

This book presents a thorough examination of generalized linear model (GLM) estimation methods as well as the derivation of all major GLM families. Examined families include Gaussian, gamma, inverse Gaussian, binomial, Poisson, geometric, and negative binomial. The text also contains various models that have been developed on the basis of GLM theory, including GAM, ordered binomial models, multinomial logit and probit models, GEE and other quasi-likelihood models, fixed and random effects models, and random intercept and random parameter models. Using Stata, the book offers numerous examples to assist you in applying the models to your own data situations.

Taylor & Francis

Genomic Clinical Trials and Predictive Medicine

9781107401358 07.01.2013 Oprawa: miękka

£ 27,99

Richard M. Simon

Genomics is majorly impacting therapeutics development in medicine. This book contains up-to-date information on the use of genomics in the design and analysis of therapeutic clinical trials with a focus on novel approaches that provide a reliable basis for identifying which patients are most likely to benefit from each treatment. It is oriented to both clinical investigators and statisticians. For clinical investigators, it includes background information on clinical trial design and statistical analysis. For statisticians and others who want to go deeper, it covers state-of-the-art adaptive designs and the development and validation of probabilistic classifiers. The author describes the development and validation of prognostic and predictive biomarkers and their integration into clinical trials that establish their clinical utility for informing treatment decisions for future patients.

Cambridge University Press

Geostatistics: Modeling Spatial Uncertainty

9780470183151 19.04.2012 Oprawa: twarda

£ 83,50

Jean-Paul Chiles

This second edition of one of the best-selling books on geostatistics provides through updates from two authoritative authors with over twenty years of experience in the field. It removes information and data that have lost relevance with time while maintaining timeless, core methods and integrating them with new developments to the field. The authors employ an applied focus on new aspects of geostatistics, including kernal methods, extreme values geostatistics, and modeling in geo-chronologic space. It can be used as a reference book for geostatisticians, physicists, and earth scientists in both industry and academia and as a supplemental text in related couses at the Ph.D level.

Wiley

Handbook of Adaptive Designs in Pharmaceutical and Clinical Development

9781439810163 27.10.2010 Oprawa: twarda

£ 69,99

Annpey Pong

This comprehensive guide offers a unified presentation of the principles and methodologies in adaptive design and analysis. It gives a well-balanced summary of current regulatory perspectives and recently developed statistical methods in this area. The handbook provides some insight regarding early phase and later phase adaptive designs. With a focus on the implementation of adaptive methods in clinical trials, it introduces the concepts of role, responsibility, function, and activity of a data safety monitoring board (DSMB) when applying these methods. Other important topics covered in detail include regulatory perspectives and logistics issues in applying adaptive design methods.

Taylor & Francis

Handbook of Functional MRI Data Analysis

9780521517669 22.08.2011 Oprawa: twarda

£ 50,00

Russell Alan Poldrack

Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook of Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software.

Cambridge University Press

Handbook of Markov Chain Monte Carlo

9781420079418 13.05.2011 Oprawa: twarda

£ 66,99

Steve Brooks

Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an astonishing array of disciplines as diverse as fisheries science and economics. The wide-ranging practical importance of MCMC has sparked an expansive and deep investigation into fundamental Markov chain theory. The Handbook of Markov Chain Monte Carlo provides a reference for the broad audience of developers and users of MCMC methodology interested in keeping up with cutting-edge theory and applications. The first half of the book covers MCMC foundations, methodology, and algorithms. The second half considers the use of MCMC in a variety of practical applications including in educational research, astrophysics, brain imaging, ecology, and sociology. The in-depth introductory section of the book allows graduate students and practicing scientists new to MCMC to become thoroughly acquainted with the basic theory, algorithms, and applications.

Taylor & Francis

    Statystyka medyczna i biostatystyka

16 www.abe.pl

Handbook of Spatial Statistics

9781420072877 23.03.2010 Oprawa: twarda

£ 69,99

Alan E. Gelfand

Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to the material, providing cross-references among chapters. The handbook begins with a historical introduction detailing the evolution of the field. It then focuses on the three main branches of spatial statistics: continuous spatial variation (point referenced data)

Taylor & Francis

Handbook of Statistical Systems Biology

9780470710869 21.10.2011 Oprawa: twarda

£ 120,00

Michael Stumpf

Systems Biology is now entering a mature phase in which the key issues are characterising uncertainty and stochastic effects in mathematical models of biological systems. The area is moving towards a full statistical analysis and probabilistic reasoning over the inferences that can be made from mathematical models. This handbook presents a comprehensive guide to the discipline for practitioners and educators, in providing a full and detailed treatment of these important and emerging subjects. Leading experts in systems biology and statistics have come together to provide insight in to the major ideas in the field, and in particular methods of specifying and fitting models, and estimating the unknown parameters. This book:

Provides a comprehensive account of inference techniques in systems biology.

Introduces classical and Bayesian statistical methods for complex systems.

Explores networks and graphical modeling as well as a wide range of statistical models for dynamical systems.

Wiley

Handbook of Statistics in Clinical Oncology

9781439862001 04.04.2012 Oprawa: twarda

£ 76,99

John Crowley

Many new challenges have arisen in the area of oncology clinical trials. New cancer therapies are often based on cytostatic or targeted agents, which pose new challenges in the design and analysis of all phases of trials. The literature on adaptive trial designs and early stopping has been exploding. Inclusion of high-dimensional data and imaging techniques have become common practice, and statistical methods on how to analyse such data have been refined in this area. A compilation of statistical topics relevant to these new advances in cancer research, this third edition of Handbook of Statistics in Clinical Oncology focuses on the design and analysis of oncology clinical trials and translational research. Addressing the many challenges that have arisen since the publication of its predecessor, this third edition covers the newest developments involved in the design and analysis of cancer clinical trials, incorporating updates to all four parts: Phase I trials: Updated recommendations regarding the standard 3 + 3 and continual reassessment approaches, along with new chapters on phase 0 trials and phase I trial design for targeted agents.

Taylor & Francis

Handbook of Survival Analysis

9781466555662 14.08.2013 Oprawa: twarda

£ 63,99

John P. Klein

This handbook focuses on the analysis of lifetime data arising from the biological and medical sciences. It deals with semiparametric and nonparametric methods. For investigators new to this field, the book provides an overview of the topic along with examples of the methods discussed. It presents both classical methods and modern Bayesian approaches to the analysis of data.

Taylor & Francis

Handbook of Volatility Models and Their Applications

9780470872512 27.04.2012 Oprawa: twarda

£ 100,00

Luc Bauwens

Volatility has become a hot topic in this era of instant communications, spawning a great deal of research in empirical finance and time series econometrics. Providing an overview of the most recent advances, Handbook of Volatility Models and Their Applications explores key concepts and topics essential for modeling the volatility of financial time series, both univariate and multivariate, parametric and non-parametric, high-frequency and low-frequency. Featuring contributions from international experts in the field, the book features numerous examples and applications from real-world projects and cutting-edge research, showing step by step how to use various methods accurately and efficiently when assessing volatility rates. Following a comprehensive introduction to the topic, readers are provided with three distinct sections that unify the statistical and practical aspects of volatility:

Autoregressive Conditional Heteroskedasticity and Stochastic Volatility presents ARCH and stochastic volatility models, with a focus on recent research topics including mean, volatility, and skewness spillovers in equity markets

Wiley

Integrated Microsystems

9781439836200 27.09.2011 Oprawa: twarda

£ 107,00

Krzysztof Iniewski

As rapid technological developments occur in electronics, photonics, mechanics, chemistry, and biology, the demand for portable, lightweight integrated microsystems is relentless. These devices are getting exponentially smaller, increasingly used in everything from video games, hearing aids, and pacemakers to more intricate biomedical engineering and military applications. Edited by Kris Iniewski, a revolutionary in the field of advanced semiconductor materials, Integrated Microsystems: Electronics, Photonics, and Biotechnology focuses on techniques for optimized design and fabrication of these intelligent miniaturized devices and systems. Composed of contributions from experts in academia and industry around the world, this reference covers processes compatible with CMOS integrated circuits, which combine computation, communications, sensing, and actuation capabilities. Light on math and physics, with a greater emphasis on microsystem design and configuration and electrical engineering, this book is organized in three sections-Microelectronics and Biosystems, Photonics and Imaging, and Biotechnology and MEMs.

Taylor & Francis

    Statystyka medyczna i biostatystyka

www.abe.pl 17

Interval-Censored Time-to-Event Data: Methods and Applications

9781466504257 30.07.2012 Oprawa: twarda

£ 63,99

Ding-Geng (Din) Chen

Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-to-event data. Top biostatisticians from academia, biopharmaceutical industries, and government agencies discuss how these advances are impacting clinical trials and biomedical research. Divided into three parts, the book begins with an overview of interval-censored data modeling, including nonparametric estimation, survival functions, regression analysis, multivariate data analysis, competing risks analysis, and other models for interval-censored data. The next part presents interval-censored methods for current status data, Bayesian semiparametric regression analysis of interval-censored data with monotone splines, Bayesian inferential models for interval-censored data, an estimator for identifying causal effect of treatment, and consistent variance estimation for interval-censored data. In the final part, the contributors use Monte Carlo simulation to assess biases in progression-free survival analysis as well as correct bias in interval-censored time-to-event applications.

Taylor & Francis

Introduction to Data Analysis with R for Forensic Scientists

9781420088267 06.08.2010 Oprawa: twarda

£ 69,99

James Michael Curran

Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. However, many researchers lack the statistical skills or resources that would allow them to explore their data to its full potential. Introduction to Data Analysis with R for Forensic Sciences minimizes theory and mathematics and focuses on the application and practice of statistics to provide researchers with the dexterity necessary to systematically analyze data discovered from the fruits of their research. Using traditional techniques and employing examples and tutorials with real data collected from experiments, this book presents the following critical information necessary for researchers:

A refresher on basic statistics and an introduction to R

Considerations and techniques for the visual display of data through graphics

An overview of statistical hypothesis tests and the reasoning behind them

A comprehensive guide to the use of the linear model, the foundation of most statistics encountered

Taylor & Francis

Introduction to Hierarchical Bayesian Modeling for Ecological Data

9781584889199 17.09.2012 Oprawa: twarda

£ 57,99

Eric Parent

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources of data. It also helps readers get started on building their own statistical models. The text begins with simple models that progressively become more complex and realistic through explanatory covariates and intermediate hidden states variables. When fitting the models to data, the authors gradually present the concepts and techniques of the Bayesian paradigm from a practical point of view using real case studies. They emphasize how hierarchical Bayesian modeling supports multidimensional models involving complex interactions between parameters and latent variables. Data sets, exercises, and R and WinBUGS codes are available on the authors' website. This book shows how Bayesian statistical modeling provides an intuitive way to organize data, test ideas, investigate competing hypotheses, and assess degrees of confidence of predictions.

Taylor & Francis

Introduction to Protein Structure Prediction

9780470470596 03.12.2010 Oprawa: twarda

£ 83,50

Huzefa Rangwala

This book helps unravel the relationship of pure sequence information and three-dimensional structure, which remains one of the great fundamental problems in molecular biology and bioinformatics. It describes key applications of modeled structures, focusing on the methods and algorithms that are used to predict protein structure written by experts who participate in the structure prediction competition. The book also delivers applications used for predicted models in other studies. Researchers in bioinformatics and molecular biology will find this text highly useful, as will students in graduate courses in protein prediction.

Wiley

Introduction to Statistical Data Analysis for the Life Sciences

9781439825556 22.07.2010 Oprawa: miękka

£ 33,99

Claus Thorn Ekstrom

Any practical introduction to statistics in the life sciences requires a focus on applications and computational statistics combined with a reasonable level of mathematical rigor. It must offer the right combination of data examples, statistical theory, and computing required for analysis today. And it should involve R software, the lingua franca of statistical computing. Introduction to Statistical Data Analysis for the Life Sciences covers all the usual material but goes further than other texts to emphasize: Both data analysis and the mathematics underlying classical statistical analysis Modeling aspects of statistical analysis with added focus on biological interpretations Applications of statistical software in analyzing real-world problems and data sets Developed from their courses at the University of Copenhagen, the authors imbue readers with the ability to model and analyze data early in the text and then gradually fill in the blanks with needed probability and statistics theory. While the main text can be used with any statistical software, the authors encourage a reliance on R. They provide a short tutorial for those new to the software and include R commands and output at the end of each chapter.

Taylor & Francis

Introduction to Statistical Limit Theory

9781420076608 14.01.2011 Oprawa: twarda

£ 59,99

Alan M. Polansky

Those moving on to advanced statistics typically lack the mathematical foundation that allows them to make full use of statistical limit theory. This accessible resource reviews approximation theory and limit theory for sequences of functions and basic notions of functional analysis. It provides detailed arguments that show how underlying mathematical and statistical theory work together. Among its unique qualities, the text covers expansion theory, which is becoming increasingly important in modern applications. It also discusses bootstrap, kernel smoothing, and Markov chain Monte Carlo and includes a wide array of examples and problems from the fundamental to very advanced.

Taylor & Francis

    Statystyka medyczna i biostatystyka

18 www.abe.pl

Introduction to Statistical Methods for Biosurveillance

9780521191340 31.03.2013 Oprawa: twarda

£ 50,00

Ronald D. Fricker

Bioterrorism is not a new threat, but in an increasingly interconnected world, the potential for catastrophic outcomes is greater today than ever. The medical and public health communities are establishing biosurveillance systems designed to proactively monitor populations for possible disease outbreaks as a first line of defense. The ideal biosurveillance system should identify trends not visible to individual physicians and clinicians in near-real time. Many of these systems use statistical algorithms to look for anomalies and to trigger epidemiologic investigation, quantification, localization, and outbreak management. This book discusses the design and evaluation of statistical methods for effective biosurveillance for readers with minimal statistical training. Weaving public health and statistics together, it presents basic and more advanced methods, with a focus on empirically demonstrating added value. Although the emphasis is on epidemiologic and syndromic surveillance, the statistical methods can be applied to a broad class of public health surveillance problems.

Cambridge University Press

Joint Models of Longitudinal and Time-to-Event Data

9781439872864 09.07.2012 Oprawa: twarda

£ 49,99

Dimitris Rizopoulos

In longitudinal studies it is often of interest to investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest, e.g., prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence. Joint Models for Longitudinal and Time-to-Event Data: With Applications in R provides a full treatment of random effects joint models for longitudinal and time-to-event outcomes that can be utilized to analyze such data. The content is primarily explanatory, focusing on applications of joint modeling, but sufficient mathematical details are provided to facilitate understanding of the key features of these models. All illustrations put forward can be implemented in the R programming language via the freely available package JM written by the author.

Taylor & Francis

Knowledge Based Bioinformatics: From Analysis to Interpretation

9780470748312 16.07.2010 Oprawa: twarda

£ 50,00

Gil Alterovitz

There is an increasing need throughout the biomedical sciences for a greater understanding of knowledge-based systems and their application to genomic and proteomic research. This book discusses knowledge-based and statistical approaches, along with applications in bioinformatics and systems biology. The text emphasizes the integration of different methods for analysing and interpreting biomedical data. This, in turn, can lead to breakthrough biomolecular discoveries, with applications in personalized medicine. Key Features:* Explores the fundamentals and applications of knowledge-based and statistical approaches in bioinformatics and systems biology.* Helps readers to interpret genomic, proteomic, and metabolomic data in understanding complex biological molecules and their interactions.* Provides useful guidance on dealing with large datasets in knowledge bases, a common issue in bioinformatics.* Written by leading international experts in this field. Students, researchers, and industry professionals with a background in biomedical sciences, mathematics, statistics, or computer science will benefit from this book.

Wiley

Local Models for Spatial Analysis

9781439829196 26.10.2010 Oprawa: twarda

£ 62,99

Christopher D. Lloyd

Focusing on solutions, this second edition provides guidance to a wide variety of real-world problems. The text presents a complete introduction to key concepts and a clear mapping of the methods discussed. It also explores connections between methods. New chapters address spatial patterning in single variables and spatial relations. In addition, every chapter now includes links to key related studies. The author clearly distinguishes between local and global methods and provides more detailed coverage of geographical weighting, image texture measures, local spatial autocorrelation, and multicollinearity and geographically weighted regression.

Taylor & Francis

Logistic Regression

9781441917416 01.06.2010 Oprawa: twarda

€ 89,95

David G. Kleinbaum

This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecturer. This edition includes three new chapters, an updated computer appendix, and an expanded section about modeling guidelines that consider causal diagrams. Like previous editions, this textbook provides a highly readable description of fundamental and more advanced concepts and methods of logistic regression. It is suitable for researchers and statisticians in medical and other life sciences as well as academicians teaching second-level regression methods courses. The new chapters are: Additional Modeling Strategy Issues, including strategy with several exposures, screening variables, collinearity, influential observations and multiple-testing, assessing Goodness to Fit for Logistic Regression, assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves. The Computer Appendix provides step-by-step instructions for using STATA (version 10.0), SAS (version 9.2), and SPSS (version 16) for procedures described in the main text.

Springer

Measurement Error

9781420066562 02.03.2010 Oprawa: twarda

£ 62,99

John P. Buonaccorsi

Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data to estimate measurement error parameters have emerged. Focusing on both established and novel approaches, "Measurement Error: Models, Methods, and Applications" provides an overview of the main techniques and illustrates their application in various models. It describes the impacts of measurement errors on naive analyses that ignore them and presents ways to correct for them across a variety of statistical models, from simple one-sample problems to regression models to more complex mixed and time series models. The book covers correction methods based on known measurement error parameters, replication, internal or external validation data, and, for some models, instrumental variables. It emphasizes the use of several relatively simple methods, moment corrections, regression calibration, simulation extrapolation (SIMEX), modified estimating equation methods, and likelihood techniques. The author uses SAS-IML and Stata to implement many of the techniques in the examples.

Taylor & Francis

    Statystyka medyczna i biostatystyka

www.abe.pl 19

Measurement in Medicine: A Practical Guide

9780521133852 11.08.2011 Oprawa: miękka

£ 29,99

Henrica C. W. de Vet

The success of the Apgar score demonstrates the astounding power of an appropriate clinical instrument. This down-to-earth book provides practical advice, underpinned by theoretical principles, on developing and evaluating measurement instruments in all fields of medicine. It equips you to choose the most appropriate instrument for specific purposes. The book covers measurement theories, methods and criteria for evaluating and selecting instruments. It provides methods to assess measurement properties, such as reliability, validity and responsiveness, and interpret the results. Worked examples and end-of-chapter assignments use real data and well-known instruments to build your skills at implementation and interpretation through hands-on analysis of real-life cases. All data and solutions are available online. This is a perfect course book for students and a perfect companion for professionals/researchers in the medical and health sciences who care about the quality and meaning of the measurements they perform.

Cambridge University Press

Measurement of Individual Stated Preferences Using R

9781439890479 05.11.2013 Oprawa: twarda

£ 49,99

Aizaki

The quantitative measurement of individual preferences is essential, allowing us to understand social phenomena and derive appropriate policies and business inferences. Suitable for applied statisticians and empirical researchers, this book helps readers select the best method for such measurement from the many econometric methods available. Providing a practical understanding of these methods, the authors present the theoretical foundations of each method together with worked examples to illustrate their application in various fields, notably empirical economics and market research. R is used to implement all methods, with code, packages, and data sets available online.

Taylor & Francis

Measures of Interobserver Agreement and Reliability

9781439810804 20.12.2010 Oprawa: twarda

£ 69,99

Mohamed M. Shoukri

Measures of Interobserver Agreement and Reliability, Second Edition covers important issues related to the design and analysis of reliability and agreement studies. It examines factors affecting the degree of measurement errors in reliability generalization studies and characteristics influencing the process of diagnosing each subject in a reliability study. The book also illustrates the importance of blinding and random selection of subjects. New to the Second Edition New chapter that describes various models for methods comparison studies New chapter on the analysis of reproducibility using the within-subjects coefficient of variation Emphasis on the definition of the subjects' and raters' population as well as sample size determination This edition continues to offer guidance on how to run sound reliability and agreement studies in clinical settings and other types of investigations. The author explores two ways of producing one pooled estimate of agreement from several centers: a fixed-effect approach and a random sample of centers using a simple meta-analytic approach. The text includes end-of-chapter exercises as well as a CD-ROM of data sets and SAS code.

Taylor & Francis

Medical Biostatistics

9781439884140 30.08.2012 Oprawa: twarda

£ 82,00

Abhaya Indrayan

Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Third Edition focuses on the statistical aspects of medicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. The author concludes "Just as results of medical tests, statistical results can be false negative or false positive". This edition provides expanded coverage of topics and includes software illustrations. The author presents step-by-step explanations of statistical methods with the help of numerous real-world examples. Guide charts at the beginning of the book enable quick access to the relevant statistical procedure, and the comprehensive index makes it easier to locate terms of interest.

Taylor & Francis

Medical Biostatistics for Complex Diseases

9783527325856 21.04.2010 Oprawa: twarda

£ 90,00

Frank Emmert-Streib

A collection of highly valuable statistical and computational approaches designed for developing powerful methods to analyze large-scale high-throughput data derived from studies of complex diseases. Such diseases include cancer and cardiovascular disease, and constitute the major health challenges in industrialized countries. They are characterized by the systems properties of gene networks and their interrelations, instead of individual genes, whose malfunctioning manifests in pathological phenotypes, thus making the analysis of the resulting large data sets particularly challenging. This is why novel approaches are needed to tackle this problem efficiently on a systems level. Written by computational biologists and biostatisticians, this book is an invaluable resource for a large number of researchers working on basic but also applied aspects of biomedical data analysis emphasizing the pathway level.

Wiley

Mendelian Randomization

9781466573178 26.10.2013 Oprawa: twarda

£ 34,99

Stephen Burgess

Mendelian randomization is a way of assessing causal associations from observational data, which is especially important for medical scientists and epidemiologists who want to know the true causes of diseases. Covering this emerging area of research in biostatistics and epidemiology, this book examines the use of genetic variants as instrumental variables to assess causal associations. It also discusses statistical issues with instrumental variable analysis and explores practical applications of Mendelian randomization. The methods are illustrated with a variety of detailed worked examples using real data.

Taylor & Francis

    Statystyka medyczna i biostatystyka

20 www.abe.pl

Methods and Applications of Statistics in the Atmospheric and Earth Sciences

9780470503447 11.12.2012 Oprawa: twarda

£ 130,00

N. Balakrishnan

Presenting a concise, well-rounded focus on the statistical concepts and applications that are essential for understanding gathered data in the earth and atmospheric sciences. Containing contributions from over 100 leading academics, researchers, and practitioners in these fields, this comprehensive book unveils modern, approaches to the acquisition and analysis of data across diverse subject areas like geology, agriculture, animal science, and geophysics. It discusses techniques related to survey methodology, computational statistics, and operations research and covers new areas of interest like non-linear weather forecasting, construction geological surveys, and water pollution assessment.

Wiley

Methods and Applications of Statistics in the Life and Health Sciences

9780470405093 12.01.2010 Oprawa: twarda

£ 145,00

N. Balakrishnan

Inspired by the Encyclopedia of Statistical Sciences, Second Edition, this volume outlines the statistical tools for successfully working with modern life and health sciences research Data collection holds an essential part in dictating the future of health sciences and public health, as the compilation of statistics allows researchers and medical practitioners to monitor trends in health status, identify health problems, and evaluate the impact of health policies and programs. Methods and Applications of Statistics in the Life and Health Sciences serves as a single, one-of-a-kind resource on the wide range of statistical methods, techniques, and applications that are applied in modern life and health sciences in research. Specially designed to present encyclopedic content in an accessible and self-contained format, this book outlines thorough coverage of the underlying theory and standard applications to research in related disciplines such as biology, epidemiology, clinical trials, and public health.

Wiley

Modeling and Analytical Methods in Tribology

9781420087017 23.07.2010 Oprawa: twarda

£ 83,00

Ilya I. Kudish

Improving our understanding of friction, lubrication, and fatigue, "Modeling and Analytical Methods in Tribology" presents a fresh approach to tribology that links advances in applied mathematics with fundamental problems in tribology related to contact elasticity, fracture mechanics, and fluid film lubrication. The authors incorporate the classical tenets of tribology while providing new mathematical solutions that address various shortcomings in existing theories. From contact interactions to contact fatigue life, the book connects traditionally separate areas of tribology research to create a coherent modeling methodology that encompasses asymptotic and numerical techniques. The authors often demonstrate the efficacy of the models by comparing predictions to experimental data. In most cases, they derive equations from first principles. They also rigorously prove problem formulations and derive certain solution properties. Solutions to problems are presented using simple analytical formulas, graphs, and tables. In addition, the end-of-chapter exercises highlight points important for comprehending the material and mastering the appropriate skills.

Taylor & Francis

Modeling and Simulation in Ecotoxicology with Applications in MATLAB and Simulink

9781439855171 15.08.2011 Oprawa: twarda

£ 76,99

Kenneth R. Dixon

Exploring roles critical to environmental toxicology, Modeling and Simulation in Ecotoxicology with Applications in MATLAB® and Simulink® covers the steps in modeling and simulation from problem conception to validation and simulation analysis. Using the MATLAB and Simulink programming languages, the book presents examples of mathematical functions and simulations, with special emphasis on how to develop mathematical models and run computer simulations of ecotoxicological processes. Designed for students and professionals with little or no experience in modeling, the book includes:

General principles of modeling and simulation and an introduction to MATLAB and Simulink

Stochastic modeling where variability and uncertainty are acknowledged by making parameters random variables

Toxicological processes from the level of the individual organism, with worked examples of process models in either MATLAB or Simulink

Taylor & Francis

Modelling and Quantitative Methods in Fisheries

9781584885610 15.03.2011 Oprawa: twarda

£ 41,99

Malcolm Haddon

With numerous real-world examples, Modelling and Quantitative Methods in Fisheries, Second Edition provides an introduction to the analytical methods used by fisheries' scientists and ecologists. By following the examples using Excel, readers see the nuts and bolts of how the methods work and better understand the underlying principles. Excel workbooks are available for download from CRC Press website. In this second edition, the author has revised all chapters and improved a number of the examples. This edition also includes two entirely new chapters: Characterization of Uncertainty covers asymptotic errors and likelihood profiles and develops a generalized Gibbs sampler to run a Markov chain Monte Carlo analysis that can be used to generate Bayesian posteriors Sized-Based Models implements a fully functional size-based stock assessment model using abalone as an example This book continues to cover a broad range of topics related to quantitative methods and modelling. It offers a solid foundation in the skills required for the quantitative study of marine populations.

Taylor & Francis

Monte Carlo Simulation for the Pharmaceutical Industry

9781439835920 15.09.2010 Oprawa: twarda

£ 59,99

Mark Chang

Helping you become a creative, logical thinker and skillful 'simulator,' "Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies" provides broad coverage of the entire drug development process, from drug discovery to preclinical and clinical trial aspects to commercialization. It presents the theories and methods needed to carry out computer simulations efficiently, covers both descriptive and pseudocode algorithms that provide the basis for implementation of the simulation methods, and illustrates real-world problems through case studies. The text first emphasizes the importance of analogy and simulation using examples from a variety of areas, before introducing general sampling methods and the different stages of drug development. It then focuses on simulation approaches based on game theory and the Markov decision process, simulations in classical and adaptive trials, and various challenges in clinical trial management and execution.

Taylor & Francis

    Statystyka medyczna i biostatystyka

www.abe.pl 21

Multiple Comparisons Using R

9781584885740 02.08.2010 Oprawa: twarda

£ 56,99

Frank Bretz

Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at http://CRAN.R-project.org After giving examples of multiplicity problems, the book covers general concepts and basic multiple comparisons procedures, including the Bonferroni method and Simes' test. It then shows how to perform parametric multiple comparisons in standard linear models and general parametric models. It also introduces the multcomp package in R, which offers a convenient interface to perform multiple comparisons in a general context. Following this theoretical framework, the book explores applications involving the Dunnett test, Tukey's all pairwise comparisons, and general multiple contrast tests for standard regression models, mixed-effects models, and parametric survival models.

Taylor & Francis

Nonparametric Statistical Tests: A Computational Approach

9781439867037 09.01.2012 Oprawa: twarda

£ 59,99

Markus Neuhauser

Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known methods such as the Baumgartner-Weiss-Schindler and the Cucconi tests. The book presents SAS and R programs, allowing readers to carry out the different statistical methods, such as permutation and bootstrap tests. The author considers example data sets in each chapter to illustrate methods. Numerous real-life data from various areas, including the bible, and their analyses provide for greatly diversified reading. The book covers:

Nonparametric two-sample tests for the location-shift model, specifically the Fisher-Pitman permutation test, the Wilcoxon rank sum test, and the Baumgartner-Weiss-Schindler test

Permutation tests, location-scale tests, tests for the nonparametric Behrens-Fisher problem, and tests for a difference in variability

Tests for the general alternative, including the (Kolmogorov-)Smirnov test, ordered categorical, and discrete numerical data

Taylor & Francis

...

Numerical Ecology with R

9781441979759 14.01.2011 Oprawa: miękka

€ 54,95

Daniel Borcard

Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the users through the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The travel starts with exploratory approaches, proceeds with the construction of association matrices, then addresses three families of methods: clustering, unconstrained and canonical ordination, and spatial analysis. This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications.

Springer

Numerical Methods for Chemical Engineers Using Excel, VBA and MATLAB

9781466575349 03.04.2013 Oprawa: twarda

£ 38,99

Victor J. Law

While teaching the Numerical Methods for Engineers course over the last 15 years, the author found a need for a new textbook, one that was less elementary, provided applications and problems better suited for chemical engineers, and contained instruction in Visual Basic(R) for Applications (VBA). This led to six years of developing teaching notes that have been enhanced to create the current textbook, Numerical Methods for Chemical Engineers Using Excel(R), VBA, and MATLAB(R). Focusing on Excel gives the advantage of it being generally available, since it is present on every computer-PC and Mac-that has Microsoft Office installed. The VBA programming environment comes with Excel and greatly enhances the capabilities of Excel spreadsheets. While there is no perfect programming system, teaching this combination offers knowledge in a widely available program that is commonly used (Excel) as well as a popular academic software package (MATLAB). Chapters cover nonlinear equations, Visual Basic, linear algebra, ordinary differential equations, regression analysis, partial differential equations, and mathematical programming methods.

Taylor & Francis

Optimal Design for Nonlinear Response Models

9781439821510 24.06.2013 Oprawa: twarda

£ 57,99

Valerii V. Fedorov

This book examines the theory of optimal model-based design and provides examples of optimal designs for various models, mostly related to biopharmaceutical applications, such as dose-response studies. The authors pay special attention to adaptive or sequential optimal designs for nonlinear regression models when estimation and optimal design are performed in stages. Ideal for researchers in regression analysis and experimental design, the text illustrates optimal designs for various models using an example of the application of a first-order optimization algorithm in the space of information matrices, which is implemented in both MATLAB(R) and SAS.

Taylor & Francis

Optimal High-Throughput Screening

9780521734448 21.02.2011 Oprawa: miękka

£ 26,99

Xiaohua Douglas Zhang

This concise, self-contained and cohesive book focuses on commonly used and recently developed methods for designing and analyzing high-throughput screening (HTS) experiments from a statistically sound basis. Combining ideas from biology, computing and statistics, the author explains experimental designs and analytic methods that are amenable to rigorous analysis and interpretation of RNAi HTS experiments. The opening chapters are carefully presented to be accessible both to biologists with training only in basic statistics and to computational scientists and statisticians with basic biological knowledge. Biologists will see how new experiment designs and rudimentary data-handling strategies for RNAi HTS experiments can improve their results, whereas analysts will learn how to apply recently developed statistical methods to interpret HTS experiments.

Cambridge University Press

    Statystyka medyczna i biostatystyka

22 www.abe.pl

Patient-Reported Outcomes: From Measurement to Interpretation

9781439873670 30.12.2013 Oprawa: twarda

£ 63,99

Joseph C. Cappelleri

Covering conceptual and statistical methods, this book discusses the issues related to measuring and interpreting patient reported outcomes (PROs). It begins with a review and background information and then covers measurement scales, validity and reliability, item response theory, and missing data. The book also describes various statistical analysis techniques, including exploratory, cross-sectional, and longitudinal data analysis, and highlights the practical interpretation and application of the techniques in clinical and pharmaceutical settings. SAS code for all methods is available in an appendix and online.

Taylor & Francis

Pocket Medical Statistics: An A-Z of Critical Appraisal

9781444167344 01.11.2013 Oprawa: miękka

£ 14,99

Filomena Pereira-Maxwell

This concise dictionary of essential statistical terminology has been designed specifically with the needs of the clinician and health care practitioner in mind. Avoiding the complex language that is so often a feature of statistics and research methodology, A-Z of Medical Statistics provides clear and succinct explanations, clarifying meaning and showing the interdependencies between important concepts. Now presented in a handy pocket format, this expanded second edition is an invaluable companion for the reading and critical appraisal of medical literature, the latter now widely recognised to be a practical lifelong skill required by all medical practitioners and researchers. Key features:

Clear and user-friendly A-Z format, now in a pocket size, allows speedy access to information in all settings

Fully updated and expanded to cover over 500 statistical terms for comprehensive coverage

Taylor & Francis

...

Population Biology and Criticality

9781848164017 29.08.2010 Oprawa: twarda

£ 67,00

Nico Stollenwerk

The present book describes novel theories of mutation pathogen systems showing critical fluctuations, as a paradigmatic example of an application of the mathematics of critical phenomena to the life sciences. It will enable the reader to understand the implications and future impact of these findings, yet at same time allow him to actively follow the mathematical tools and scientific origins of critical phenomena. This book also seeks to pave the way to further fruitful applications of the mathematics of critical phenomena in other fields of the life sciences.

World Scientific Publishing

Preventing and Treating Missing Data in Longitudinal Clinical Trials

9781107679153 28.02.2013 Oprawa: miękka

£ 22,99

Craig Mallinckrodt

Recent decades have brought advances in statistical theory for missing data, which, combined with advances in computing ability, have allowed implementation of a wide array of analyses. In fact, so many methods are available that it can be difficult to ascertain when to use which method. This book focuses on the prevention and treatment of missing data in longitudinal clinical trials. Based on his extensive experience with missing data, the author offers advice on choosing analysis methods and on ways to prevent missing data through appropriate trial design and conduct. He offers a practical guide to key principles and explains analytic methods for the non-statistician using limited statistical notation and jargon. The book's goal is to present a comprehensive strategy for preventing and treating missing data, and to make available the programs used to conduct the analyses of the example dataset.

Cambridge University Press

Quantitative Ecotoxicology

9781439835647 25.09.2012 Oprawa: twarda

£ 95,00

Michael C. Newman

Quantitative Ecotoxicology, Second Edition explores models and methods of quantitative ecotoxicology at progressively higher biological scales using worked examples and common software packages. It complements the author's previous books, Fundamentals of Ecotoxicology, Third Edition and Ecotoxicology: A Comprehensive Treatment. Encouraging a more rigorous inferential approach to research, the book examines the quantitative features of the science of ecotoxicology. The first chapters lay the foundation by introducing fundamental concepts and definitions. The author traces the historical perspective, rationale, and characteristics of scientific ecotoxicology as well as the general measurement process. He also considers methodologies for defining and controlling variance, which could otherwise exclude valid conclusions from ecotoxicological endeavors. The book then discusses ecotoxicological concepts at increasing levels of ecological organization and outlines quantitative methods used to measure toxicant accumulation and effects.

Taylor & Francis

...

Randomized Clinical Trials of Nonpharmacological Treatments

9781420088014 31.01.2012 Oprawa: twarda

£ 66,99

Isabelle Boutron

Nonpharmacological treatments include a wide variety of treatments such as surgery, technical procedures, implantable and non-implantable devices, rehabilitation, psychotherapy, and behavioral interventions. Unlike pharmacological treatments, these have no specific requirements for approval. Consequently, they can be widely proposed in clinical practice but may not have been adequately evaluated. This situation is an important barrier for the evaluation of the beneficial effects of these treatments and the conduct of clinical trials. Randomized Clinical Trials of Nonpharmacologic Treatments focuses on the methods for assessing nonpharmacological treatments, highlighting specific issues and trial design. Features:

Chapters written by international experts in the field

Highlights specific issues in assessing nonpharmacological treatments in trials including:

how to overcome the difficulties of blinding patients, care providers

Taylor & Francis

    Statystyka medyczna i biostatystyka

www.abe.pl 23

Randomized Phase II Cancer Clinical Trials

9781439871850 27.05.2013 Oprawa: twarda

£ 57,99

Sin-Ho Jung

In cancer research, a traditional phase II trial is designed as a single-arm trial that compares the experimental therapy to a historical control. This simple trial design has led to several adverse issues, including increased false positivity of phase II trial results and negative phase III trials. To rectify these problems, oncologists and biostatisticians have begun to use a randomized phase II trial that compares an experimental therapy with a prospective control therapy. Randomized Phase II Cancer Clinical Trials explains how to properly select and accurately use diverse statistical methods for designing and analyzing phase II trials. The author first reviews the statistical methods for single-arm phase II trials since some methodologies for randomized phase II trials stem from single-arm phase II trials and many phase II cancer clinical trials still use single-arm designs. The book then presents methods for randomized phase II trials and describes statistical methods for both single-arm and randomized phase II trials.

Taylor & Francis

Recent Advances in Biostatistics

9789814329798 25.03.2011 Oprawa: twarda

£ 63,00

Manish Bhattacharjee

This unique volume provides self-contained accounts of some recent trends in Biostatistics methodology and their applications. It includes state-of-the-art reviews and original contributions. The articles included in this volume are based on a careful selection of peer-reviewed papers, authored by eminent experts in the field, representing a well balanced mix of researchers from the academia, R&D sectors of government and the pharmaceutical industry. The book is also intended to give advanced graduate students and new researchers a scholarly overview of several research frontiers in biostatistics, which they can use to further advance the field through development of new techniques and results.

World Scientific Publishing

Regression Methods in Biostatistics

9781461413523 01.12.2011 Oprawa: twarda

€ 79,95

Eric Vittinghoff

This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes. Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way. The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided.

Springer

Regression Models as a Tool in Medical Research

9781466517486 29.11.2012 Oprawa: twarda

£ 57,99

Werner Vach

While regression models have become standard tools in medical research, understanding how to properly apply the models and interpret the results is often challenging for beginners. Regression Models as a Tool in Medical Research presents the fundamental concepts and important aspects of regression models most commonly used in medical research, including the classical regression model for continuous outcomes, the logistic regression model for binary outcomes, and the Cox proportional hazards model for survival data. The text emphasizes adequate use, correct interpretation of results, appropriate presentation of results, and avoidance of potential pitfalls. After reviewing popular models and basic methods, the book focuses on advanced topics and techniques. It considers the comparison of regression coefficients, the selection of covariates, the modeling of nonlinear and nonadditive effects, and the analysis of clustered and longitudinal data, highlighting the impact of selection mechanisms, measurement error, and incomplete covariate data. The text then covers the use of regression models to construct risk scores and predictors.

Taylor & Francis

Response-adaptive Designs in Clinical Trials

9781584886938 17.07.2013 Oprawa: miękka

£ 57,99

Atanu Biswas

Response-adaptive designs, which aim to reduce the number of patients receiving inferior treatments, are becoming increasingly popular in Phase III clinical trials. Written by leading experts, "Response-Adaptive Designs in Clinical Trials" provides an overview of the growing research in this area. It presents up-to-date methodology, and includes all necessary background material on adaptive clinical trials. Illustrating methods with numerous real-world examples from recent clinical trials, the book offers practical guidelines for applying these methods in the field, includes supporting software available for download, and explores future research directions.

Taylor & Francis

Richly Parameterized Models

9781439866832 31.12.2013 Oprawa: twarda

£ 57,99

James S Hodges

This book covers a wide range of statistical models, including hierarchical, hierarchical generalized linear, linear mixed, dynamic linear, smoothing, spatial, and longitudinal. It presents a framework for expressing these richly parameterized models together as well as tools for exploring and interpreting the results of fitting the models to data. It extends the standard theory of linear models and illustrates the advantages and disadvantages of various theories. The book also examines surprising or undesirable results arising in the use of the models to analyze real data sets from collaborative research.

Taylor & Francis

    Statystyka medyczna i biostatystyka

24 www.abe.pl

Robust Nonparametric Statistical Methods

9781439809082 22.12.2010 Oprawa: twarda

£ 69,99

Thomas P. Hettmansperger

Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It follows the approach of the first edition by developing rank-based methods from the unifying theme of geometry. This edition, however, includes more models and methods and significantly extends the possible analyses based on ranks. New to the Second Edition A new section on rank procedures for nonlinear models A new chapter on models with dependent error structure, covering rank methods for mixed models, general estimating equations, and time series New material on the development of computationally efficient affine invariant/equivariant sign methods based on transform-retransform techniques in multivariate models Taking a comprehensive, unified approach to statistical analysis, the book continues to describe one- and two-sample problems, the basic development of rank methods in the linear model, and fixed effects experimental designs.

Taylor & Francis

Robust Response Surfaces, Regression, and Positive Data Analyses

9781466506770 15.08.2013 Oprawa: twarda

£ 57,99

Rabindra Nath Das

There are many gaps in the existing literature of robust response surface designs (RSM) that need to be filled to solve real-life problems. This book presents the gaps and their solutions. The author proposes new concepts of RSM, along with the relevant regression analysis and positive data analysis techniques, and aims to remove many RSM limitations. Among a wide range of topics, the text covers applications of correlated regression analysis techniques in block design analysis, robust first and second order rotatable and optimal designs for normally distributed responses, as well as lifetime responses having log-normal, exponential, gamma and Weibull distributions.

Taylor & Francis

Simultaneous Inference in Regression

9781439828090 12.10.2010 Oprawa: twarda

£ 62,99

Wei Liu

The use of simultaneous confidence bands in linear regression is a vibrant area of research. This book presents an overview of the methodology and applications, including necessary background material on linear models. A special chapter on logistic regression gives readers a glimpse into how these methods can be used for generalized linear models. The appendices provide computational tools for simulating confidence bands. The author also includes MATLAB[registered] programs for all examples on the web. With many numerical examples and software implementation, this text serves the needs of researchers and graduate students interested in these methods as well as practitioners who wish to apply them.

Taylor & Francis

Spatial Data Analysis in Ecology and Agriculture Using R

9781439819135 05.04.2012 Oprawa: twarda

£ 57,99

Richard E. Plant

Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology and agriculture. Written in terms of four data sets easily accessible online, this book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Based on the author's spatial data analysis course at the University of California, Davis, the book is intended for classroom use or self-study by graduate students and researchers in ecology, geography, and agricultural science with an interest in the analysis of spatial data.

Taylor & Francis

Stastics for Biomedical Engineering

9781439897416 15.05.2013 Oprawa: twarda

£ 63,99

Martyn R Smith

This text covers the statistical methods necessary to carry out work in biomedical engineering and human health research. Highly interdisciplinary, it incorporates aspects from biostatistics, engineering statistics and probability, quality assurance, and epidemiology. The text begins with hypothesis testing and the scientific method, moves on to various statistical tests and modeling, and concludes with statistical theorems and probability. Examples and case studies are employed extensively to highlight the use and misuse of the statistical techniques and their interpretation in the scientific literature.

Taylor & Francis

Statistical Analysis in Microbiology: StatNotes

9780470559307 24.12.2010 Oprawa: miękka

£ 35,00

Richard A. Armstrong

This book is aimed primarily at microbiologists who are undertaking research, and who require a basic knowledge of statistics to analyse their experimental data. Computer software employing a wide range of data analysis methods is widely available to experimental scientists. The availability of this software, however, makes it even more essential that microbiologists understand the basic principles of statistics. Statistical analysis of data can be complex with many different methods of approach, each of which applies in a particular experimental circumstance. In addition, most statistical software commercially available is complex and difficult to use. Hence, it is easy to apply an incorrect statistical method to data and to draw the wrong conclusions from an experiment. The purpose of this book is an attempt to present the basic logic of statistics as clearly as possible and therefore, to dispel some of the myths that often surround the subject.

Wiley

    Statystyka medyczna i biostatystyka

www.abe.pl 25

Statistical Analysis of Human Growth and Development

9781439871546 15.12.2013 Oprawa: twarda

£ 63,99

Yin Bun Cheung (National Cancer Centre, Sin-

Human growth refers to changes in anthropometric measurements, such as fetal size parameters, height, weight, and body mass index. Development refers to changes in cognitive, social-emotional, locomotor, and other abilities. This book illustrates how statistical methods can be used to answer research questions in human growth and development. In addition to describing methods, it looks at how well a method addresses a specific research question and how to interpret and present the analytic results. Although the examples are drawn from human growth and development, the concepts and methods are applicable to studies of many other physical and psychological phenomena, such as lung function and depressive symptoms. Requiring introductory statistics knowledge, the book is intended for clinical researchers, epidemiologists, social scientists, statisticians, related researchers, and post-graduate students investigating human growth and development.

Taylor & Francis

Statistical and Computational Methods in Brain Image Analysis

9781439836354 26.07.2013 Oprawa: twarda

£ 63,99

Moo K. Chung

A major challenge in brain mapping is caused by the massive amount of nonstandard high dimensional data that is difficult to analyze using standard techniques. This book covers modern statistical and computational techniques for analyzing such data. Some methodological topics covered include finite mixture models, logistic models, nonparametric regression, mixed effects models, neural networks and support vector machines. Real datasets are used to illustrate the methods described and MATLAB(R) code to implement them. The book has an accompanying website where this material can be downloaded.

Taylor & Francis

Statistical Evaluation of Diagnostic Performance

9781439812228 27.07.2011 Oprawa: twarda

£ 59,99

Zou

Statistical evaluation of diagnostic performance in general and Receiver Operating Characteristic (ROC) analysis in particular are important for assessing the performance of medical tests and statistical classifiers, as well as for evaluating predictive models or algorithms. This book presents innovative approaches in ROC analysis, which are relevant to a wide variety of applications, including medical imaging, cancer research, epidemiology, and bioinformatics. Statistical Evaluation of Diagnostic Performance: Topics in ROC Analysis covers areas including monotone-transformation techniques in parametric ROC analysis, ROC methods for combined and pooled biomarkers, Bayesian hierarchical transformation models, sequential designs and inferences in the ROC setting, predictive modeling, multireader ROC analysis, and free-response ROC (FROC) methodology. The book is suitable for graduate-level students and researchers in statistics, biostatistics, epidemiology, public health, biomedical engineering, radiology, medical imaging, biomedical informatics, and other closely related fields.

Taylor & Francis

Statistical Learning for Biomedical Data

9780521699099 24.02.2011 Oprawa: miękka

£ 30,99

James D. Malley

This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research. This introduction brings learning machine techniques to the biomedical world in an accessible way, explaining the underlying principles in nontechnical language and using extensive examples and figures. The authors connect these new methods to familiar techniques by showing how to use the learning machine models to generate smaller, more easily interpretable traditional models. Coverage includes single decision trees, multiple-tree techniques such as Random Forests(TM), neural nets, support vector machines, nearest neighbors and boosting.

Cambridge University Press

...

Statistical Methods for Handling Incomplete Data

9781439849637 30.08.2013 Oprawa: twarda

£ 57,99

Jae Kwang Kim

With advances in computing power, there have been substantial developments in computational methods for handling missing data. This text presents an introduction to the theory, applications, and computational aspects of missing data analysis. It covers the three main methodological approaches: likelihood-based, nonparametric, and quasi-randomization. The text includes many real examples and integrates computer code where appropriate. It also provides exercises at the end of each chapter. A solutions manual is available for qualifying instructors.

Taylor & Francis

Statistical Methods for Qtl Mapping

9781439868300 16.09.2013 Oprawa: twarda

£ 57,99

Zehua Chen

QTL mapping remains a vibrant area of research in genetics. Proper and efficient statistical methods are crucial for QTL mapping to be fruitful, yet there are relatively few books covering these methods. This book presents a comprehensive and up-to-date overview of statistical methods for QTL mapping. It covers one-dimensional mapping, multiple interval mapping with various traits, nonparametric methods and Bayesian approaches, feature selection, and expression QTL mapping. The book includes the necessary biological and statistical background to appeal to both statisticians and geneticists.

Taylor & Francis

    Statystyka medyczna i biostatystyka

26 www.abe.pl

Statistical Methods for Trend Detection and Analysis in the Environmental

9780470015438 11.03.2011 Oprawa: twarda

£ 65,00

Richard Chandler

The need to understand and quantify change is fundamental throughout the environmental sciences. This might involve describing past variation, understanding the mechanisms underlying observed changes, making projections of possible future change, or monitoring the effect of intervening in some environmental system. This book provides an overview of modern statistical techniques that may be relevant in problems of this nature. Practitioners studying environmental change will be familiar with many classical statistical procedures for the detection and estimation of trends. However, the ever increasing capacity to collect and process vast amounts of environmental information has led to growing awareness that such procedures are limited in the insights that they can deliver. At the same time, significant developments in statistical methodology have often been widely dispersed in the statistical literature and have therefore received limited exposure in the environmental science community. This book aims to provide a thorough but accessible review of these developments.

Wiley

Statistical Methods in Diagnostic Medicine

9780470183144 05.04.2011 Oprawa: twarda

£ 76,95

Xiao-Hua Zhou

Praise for the First Edition " ...the book is a valuable addition to the literature in the field, serving as a much-needed guide for both clinicians and advanced students."--Zentralblatt MATH A new edition of the cutting-edge guide to diagnostic tests in medical research In recent years, a considerable amount of research has focused on evolving methods for designing and analyzing diagnostic accuracy studies. Statistical Methods in Diagnostic Medicine, Second Edition continues to provide a comprehensive approach to the topic, guiding readers through the necessary practices for understanding these studies and generalizing the results to patient populations. Following a basic introduction to measuring test accuracy and study design, the authors successfully define various measures of diagnostic accuracy, describe strategies for designing diagnostic accuracy studies, and present key statistical methods for estimating and comparing test accuracy.

Wiley

Statistical Methods in Healthcare

9780470670156 31.08.2012 Oprawa: twarda

£ 108,00

Frederick Faltin

In recent years the number of innovative medicinal products and devices submitted and approved by regulatory bodies has declined dramatically. The medical product development process is no longer able to keep pace with increasing technologies, science and innovations and the goal is to develop new scientific and technical tools and to make product development processes more efficient and effective. Statistical Methods in Healthcare focuses on the application of statistical methodologies to evaluate promising alternatives and to optimize the performance and demonstrate the effectiveness of those that warrant pursuit is critical to success. Statistical methods used in planning, delivering and monitoring health care, as well as selected statistical aspects of the development and/or production of pharmaceuticals and medical devices are also addressed. With a focus on finding solutions to these challenges, this book: Provides a comprehensive, in-depth treatment of statistical methods in healthcare, along with a reference source for practitioners and specialists in health care and drug development.

Wiley

Statistical Modelling of Molecular Descriptors in QSAR/QSPR

9783527324347 22.02.2012 Oprawa: twarda

£ 105,00

Matthias Dehmer

This handbook and ready reference presents a combination of statistical, information-theoretic, and data analysis methods to meet the challenge of designing empirical models involving molecular descriptors within bioinformatics. The topics range from investigating information processing in chemical and biological networks to studying statistical and information-theoretic techniques for analyzing chemical structures to employing data analysis and machine learning techniques for QSAR/QSPR. The high-profile international author and editor team ensures excellent coverage of the topic, making this a must-have for everyone working in chemoinformatics and structure-oriented drug design.

Wiley

Statistical Physics of Biomolecules

9781420073782 04.06.2010 Oprawa: twarda

£ 62,99

Daniel M. Zuckerman

It is essential for modern students of molecular behavior to understand the statistical/chemical physics at the heart of modern molecular science. But traditional presentations of this material are often difficult to penetrate. This volume brings "down to earth" some of the most intimidating but important theories of molecular biophysics. Students build understanding by focusing on topics such as probability theory, low-dimensional models, and the simplest molecular systems. The book's accessible development of equilibrium and dynamical statistical physics makes this a valuable text for students with limited physics and chemistry backgrounds.

Taylor & Francis

Statistical Thinking in Epidemiology

9781420099911 25.07.2011 Oprawa: twarda

£ 59,99

Yu-Kang Tu

Addressing issues that have plagued researchers throughout the last decade, this book provides new insights into the many existing problems in statistical modeling and offers several alternative strategies to approach these problems. Emphasizing the importance of statistical thinking behind all analyses, the authors use specific examples in epidemiology to illustrate different model specifications that can imply different sets of causal relationships between variables. Each model is interpreted with regard to the context of implicit or explicit causal relationships. The authors also use vector geometry where applicable to provide an intuitive understanding of important statistical concepts.

Taylor & Francis

    Statystyka medyczna i biostatystyka

www.abe.pl 27

Statistics and Data Analysis for Microarrays Using R and Bioconductor

9781439809754 23.11.2011 Oprawa: twarda

£ 57,99

Sorin Draghici

Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on, example-based approach that teaches students the basics of R and microarray technology as well as how to choose and apply the proper data analysis tool to specific problems. New to the Second Edition Completely updated and double the size of its predecessor, this timely second edition replaces the commercial software with the open source R and Bioconductor environments. Fourteen new chapters cover such topics as the basic mechanisms of the cell, reliability and reproducibility issues in DNA microarrays, basic statistics and linear models in R, experiment design, multiple comparisons, quality control, data pre-processing and normalization, Gene Ontology analysis, pathway analysis, and machine learning techniques.

Taylor & Francis

Statistics for Censored Environmental Data Using Minitab and R

9780470479889 20.02.2012 Oprawa: twarda

£ 76,95

Dennis R. Helsel

This Second Edition solves a current dilemma that occurs across a wide spectrum of environmental science: how to correctly analyze and interpret censored data (data below detection limits). It adapts survival analysis methods and demonstrates their practical applications when studyingtrace chemicals in air, water, soils, and biota. This edition features new chapters on plotting data with nondetects, multivariate procedures, and software for data with nondetects, as well as expanded and new sections, including a new section on testing censored data for normal distributions. Environmental professionals and upper-undergraduate and graduate students will rely on this resource.

Wiley

Statistics for Earth and Environmental Scientists

9780470584699 03.01.2011 Oprawa: twarda

£ 73,50

John Schuenemeyer

A comprehensive treatment of statistical applications for solving real-world environmental problems A host of complex problems face today's earth science community, such as evaluating the supply of remaining non-renewable energy resources, assessing the impact of people on the environment, understanding climate change, and managing the use of water. Proper collection and analysis of data using statistical techniques contributes significantly toward the solution of these problems. Statistics for Earth and Environmental Scientists presents important statistical concepts through data analytic tools and shows readers how to apply them to real-world problems. The authors present several different statistical approaches to the environmental sciences, including Bayesian and nonparametric methodologies. The book begins with an introduction to types of data, evaluation of data, modeling and estimation, random variation, and sampling--all of which are explored through case studies that use real data from earth science applications.

Wiley

Statistics for Spatio-Temporal Data

9780471692744 19.04.2011 Oprawa: twarda

£ 56,95

Noel Cressie

A state-of-the-art presentation of spatio-temporal processes, bridging classic ideas with modern hierarchical statistical modeling concepts and the latest computational methods From understanding environmental processes and climate trends to developing new technologies for mapping public-health data and the spread of invasive-species, there is a high demand for statistical analyses of data that take spatial, temporal, and spatio-temporal information into account. Statistics for Spatio-Temporal Data presents a systematic approach to key quantitative techniques that incorporate the latest advances in statistical computing as well as hierarchical, particularly Bayesian, statistical modeling, with an emphasis on dynamical spatio-temporal models. Cressie and Wikle supply a unique presentation that incorporates ideas from the areas of time series and spatial statistics as well as stochastic processes. Beginning with separate treatments of temporal data and spatial data, the book combines these concepts to discuss spatio-temporal statistical methods for understanding complex processes.

Wiley

Statistics for the Life Sciences

9780321709677 17.12.2010 Oprawa: miękka

£ 62,99

Myra L. Samuels

Statistics for the Life Sciences, Fourth Edition, covers the key concepts of statistics as applied to the life sciences, while incorporating the tools and themes of modern data analysis. This text uses an abundance of real data in the exercises and examples, and minimizes computation, so that readers can focus on the statistical concepts and issues, not the mathematics. Basic algebra is assumed as a prerequisite.

Pearson Education

Statistics of Medical Imaging

9781420088427 12.01.2012 Oprawa: twarda

£ 63,99

Tianhu Lei

Extensive work is being done in the statistical aspects of medical imaging, and this book fills the gap in the literature to provide a unified framework of study. It presents a complete look at medical imaging and statistics, from the statistical aspects of imaging technology to the statistical analysis of images. It provides technicians and students with the statistical principles that underlay medical imaging and offers reference material for researchers involved in the design of new technology. Illustrations are included throughout as are many real examples and algorithms. The text also includes exercises developed out of the author's many years of experience.

Taylor & Francis

    Statystyka medyczna i biostatystyka

28 www.abe.pl

Survival Analysis

9781441966452 20.10.2011 Oprawa: twarda

€ 89,95

David G. Kleinbaum

An excellent introduction for all those coming to the subject for the first time. New material has been added to the second edition and the original six chapters have been modified. The previous edition sold 9500 copies world wide since its release in 1996. Based on numerous courses given by the author to students and researchers in the health sciences and is written with such readers in mind. Provides a "user-friendly" layout and includes numerous illustrations and exercises. Written in such a way so as to enable readers learn directly without the assistance of a classroom instructor. Throughout, there is an emphasis on presenting each new topic backed by real examples of a survival analysis investigation, followed up with thorough analyses of real data sets.

Springer

Survival Analysis in Medicine and Genetics

9781439893111 26.06.2013 Oprawa: twarda

£ 63,99

Jialiang Li

This text introduces up-to-date statistical methods for survival data analysis in medicine and genetics. Along with classical results, it presents new developments in interval censoring, statistical diagnostics with time-dependent outcomes, analysis of ultrahigh-dimensional data sets, cure rate models, and repeated measure data. Suitable for both graduate students and biomedical researchers, the text covers applications in cancer studies, medical diagnosis, genetics, and genomics. It provides R code and example data sets online.

Taylor & Francis

Testing Statistical Hypotheses of Equivalence and Noninferiority

9781439808184 30.06.2010 Oprawa: twarda

£ 69,99

Stefan Wellek

While continuing to focus on methods of testing for two-sided equivalence, "Testing Statistical Hypotheses of Equivalence and Noninferiority, Second Edition" gives much more attention to noninferiority testing. It covers a spectrum of equivalence testing problems of both types, ranging from a one-sample problem with normally distributed observations of fixed known variance to problems involving several dependent or independent samples and multivariate data. Along with expanding the material on noninferiority problems, this edition includes new chapters on equivalence tests for multivariate data and tests for relevant differences between treatments. A majority of the computer programs offered online are now available not only in SAS or Fortran but also as R scripts or as shared objects that can be called within the R system. This book provides readers with a rich repertoire of efficient solutions to specific equivalence and noninferiority testing problems frequently encountered in the analysis of real data sets. It first presents general approaches to problems of testing for noninferiority and two-sided equivalence.

Taylor & Francis

The Design and Management of Medical Device Clinical Trials

9780470602256 16.07.2010 Oprawa: twarda

£ 62,50

Salah Abdel-aleem

Clinical trials tasks and activities are widely diverse and require certain skill sets to both plan and execute. This book provides professionals in the field of clinical research with valuable information on the challenging issues of the design, execution, and management of clinical trials, and how to resolve these issues effectively. It discusses key obstacles such as challenges to patient recruitment, investigator and study site selection, and dealing with compliance issues. Through practical examples, professionals working with medical device clinical trials will discover the appropriate steps to take.

Wiley

The Essentials of Biostatistics for Physicians, Nurses, and Clinicians

9780470641859 30.09.2011 Oprawa: miękka

£ 50,00

Michael R. Chernick

A fundamental and straightforward guide to using and understanding statistical concepts in medical research Designed specifically for healthcare practitioners who need to understand basic biostatistics but do not have much time to spare, The Essentials of Biostatistics for Physicians, Nurses and Clinicians presents important statistical methods used in today's biomedical research and provides insight on their appropriate application. Rather than provide detailed mathematics for each of these methods, the book emphasizes what healthcare practitioners need to know to interpret and incorporate the latest biomedical research into their practices. The author draws from his own experience developing and teaching biostatistics courses for physicians and nurses, offering a presentation that is non-technical and accessible. The book begins with a basic introduction to the relationship between biostatistics and medical research, asking the question "why study statistics?," while also exploring the significance of statisitcal methods in medical literature and clinical trials research.

Wiley

Theory of Drug Development

9781466507463 15.07.2013 Oprawa: twarda

£ 57,99

Eric B Holmgren

During drug development, pharmaceutical companies test new molecules and assemble the necessary evidence required by regulatory agencies to show that a drug is safe and effective. This book presents a quantitative framework for evaluating the efficiency of the drug development process as well as the quality of the resulting evidence supporting clinical efficacy. Using this framework, the author formally evaluates a variety of issues that arise in drug development, from surrogate variables, targeted therapies, and interim analysis to seamless phase II/III designs.

Taylor & Francis

    Statystyka medyczna i biostatystyka

www.abe.pl 29

Time Series Modeling of Neuroscience Data

9781420094602 09.02.2012 Oprawa: twarda

£ 63,99

Tohru Ozaki

Recent advances in brain science measurement technology have given researchers access to very large-scale time series data such as EEG/MEG data (20 to 100 dimensional) and fMRI (140,000 dimensional) data. To analyze such massive data, efficient computational and statistical methods are required. Time Series Modeling of Neuroscience Data shows how to efficiently analyze neuroscience data by the Wiener-Kalman-Akaike approach, in which dynamic models of all kinds, such as linear/nonlinear differential equation models and time series models, are used for whitening the temporally dependent time series in the framework of linear/nonlinear state space models. Using as little mathematics as possible, this book explores some of its basic concepts and their derivatives as useful tools for time series analysis. Unique features include:

A statistical identification method of highly nonlinear dynamical systems such as the Hodgkin-Huxley model, Lorenz chaos model, Zetterberg Model, and more

Methods and applications for Dynamic Causality Analysis developed by Wiener, Granger, and Akaike

Taylor & Francis

Understanding Biostatistics

9780470666364 18.03.2011 Oprawa: twarda

£ 60,00

Anders Kallen

Understanding Biostatistics looks at the fundamentals of biostatistics, using elementary statistics to explore the nature of statistical tests. This book is intended to complement first-year statistics and biostatistics textbooks. The main focus here is on ideas, rather than on methodological details. Basic concepts are illustrated with representations from history, followed by technical discussions on what different statistical methods really mean. Graphics are used extensively throughout the book in order to introduce mathematical formulae in an accessible way. Key features: Discusses confidence intervals and p-values in terms of confidence functions. Explains basic statistical methodology represented in terms of graphics rather than mathematical formulae, whilst highlighting the mathematical basis of biostatistics. Looks at problems of estimating parameters in statistical models and looks at the similarities between different models. Provides an extensive discussion on the position of statistics within the medical scientific process. Discusses distribution functions, including the Guassian distribution and its importance in biostatistics.

Wiley

Using R for Data Management, Statistical Analysis, and Graphics

9781439827550 02.08.2010 Oprawa: miękka

£ 41,99

Ken Kleinman

Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphics Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation and vast number of add-on packages. Organized by short, clear descriptive entries, the book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, multivariate methods, and the creation of graphics. Through the extensive indexing, cross-referencing, and worked examples in this text, users can directly find and implement the material they need. The text includes convenient indices organized by topic and R syntax. Demonstrating the R code in action and facilitating exploration, the authors present example analyses that employ a single data set from the HELP study. They also provide several case studies of more complex applications. Data sets and code are available for download on the book's website.

Taylor & Francis

Using SAS for Data Management, Statistical Analysis, and Graphics

9781439827574 16.07.2010 Oprawa: miękka

£ 41,99

Ken Kleinman

This title offers quick and easy access to key element of documentation. It includes worked examples across a wide variety of applications, tasks, and graphics. A unique companion for statistical coders, "Using SAS for Data Management, Statistical Analysis, and Graphics" presents an easy way to learn how to perform an analytical task in SAS, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation. Organized by short, clear descriptive entries, the book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, multivariate methods, and the creation of graphics. Through the extensive indexing, cross-referencing, and worked examples in this text, users can directly find and implement the material they need. The text includes convenient indices organized by topic and SAS syntax. Demonstrating the SAS code in action and facilitating exploration, the authors present example analyses that employ a single data set from the help study. They also provide several case studies of more complex applications.

Taylor & Francis

Visualizing Data Patterns with Micromaps

9781420075731 29.04.2010 Oprawa: twarda

£ 48,99

Carr

After more than 15 years of development drawing on research in cognitive psychology, statistical graphics, computer science, and cartography, micromap designs are becoming part of mainstream statistical visualizations. Bringing together the research of two leaders in this field, Visualizing Data Patterns with Micromaps presents the many design variations and applications of micromaps, which link statistical information to an organized set of small maps. This full-color book helps readers simultaneously explore the statistical and geographic patterns in their data. After illustrating the three main types of micromaps, the authors summarize the research behind the design of visualization tools that support exploration and communication of spatial data patterns. They then explain how these research findings can be applied to micromap designs in general and detail the specifics involved with linked, conditioned, and comparative micromap designs.

Taylor & Francis

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