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  • MGH 2

    1

    (evidence-based medicine)

    P)p(

    Citations

  • MGH 3

    Citation

    CITATIONS: are footnotes to reference published with a scholarly journal article .

    1962ISIInstitute for Scientific InformationScience Citation index (SCI)

    Cited reference

    Citation Medline) (

    SCIMedlineInspec

  • MGH 4

    Impact factor Citation index

    Impact factor Citations (impact factor)

    (The New England journal of medicine)34.833

    (Saudi medical journal)0.306 (American Journal of Preventive Medicine ) 3.256 (respiratory research)4.03

    Citations Impact factor

  • MGH 5

    60

    (HCR)

    5000500

    500

  • MGH 6

  • MGH 7

  • MGH 8

    Snow

    Statistical Analysis

    Excel

  • MGH 9

    Data

    - CasesObservationsRecords

    -

    VariablesFields

    Values variables

    cases

    GIS

  • MGH 10

    dependentoutcome independentexposure

  • MGH 11

    Measurement scales

    Categorical Nominal

    A, B, AB, O

    Dichotomous Nominal Yes/No , binary, logical

    coding0, 1

  • MGH 12

    Ordinal

    1 I, II, III, IV, VIIIIIIIIIIIIIIV

    2 I, II, III, IV 3

    ||||||

    10,000||10,00020,000

    ||20,00040,000||40,000 015||1545||

  • MGH 13

    Continuous

    Interval

    Ratio

    cyclic

    variables

    506070

    (50+60+70) / 3 =60 nominal

    21:00,

    01:00, 02:00(21+1+2) / 3 = 8

    Continuous

    165

  • MGH 14

    proportionbinary

    23 Rate

    5.5

    Time to an event

    Data Types

    Numeric String

    Date

    Currency Binary

  • MGH 15

    coding

    Martial status

    * 1 single * 2 divorced * 3 widowed * 4 married

    ) 1,2,3,4. (

    . ( .

  • MGH 16

  • MGH 17

    scaleordinal

    100001200020000

    30000100002000020000300003000040000

  • MGH 18

    Descriptive statistics

    Inferential Statistics

    Inferential statistics

    Estimation a parameter within population

    Detect Relations between variables.

    Predict values: one variable based on others, parameters of the population,.

    1

    2 2020

  • MGH 19

    there is no other way of representing "meaning" except in terms of relations between some quantities or qualities; either way involves relations between variables

    Population and samples

    Population) Censussampleinterference

    Sampling variation

    Population 10

    target population

    Population

  • MGH 20

    census

    Representing sample

    students are typical

    Observational

    Experimental

  • MGH 21

    Confounders

    association causation

    Confounders

  • MGH 22

    ExcelAccessExcel

    ExcelAccess

    1 SAS System 1982

    SAS

    PC Personal computerMain frameWindows,

    Unix, Linux, Mac

  • MGH 23

    SAS Specialist

    2 SPSS

    Graphics

    3 STATISTICA SPSSGraphics

    SPSS 4 Epi Info

    5 RS-Plus

    :

  • MGH 24

    - 2 spss

    Data view Variable view

    SPSS Viewer

    Data View

    Value Labels

    Labels

    30

  • MGH 25

    Variable view Variable view

    Name

    _

    Underscore

    Label

    Measure Scale/, Ordinal, Nominal

  • MGH 26

    TYPE

    Numeric Date dollarcustom currency String

    Character

    Values

    ValueValue

    Label

  • MGH 27

    Missing Values

    SPSS MissingSPSS

  • MGH 28

    ExcelFileOpen

    DataExcel . Files of type

  • MGH 29

    3

    Reliability - Unbiased

    Reliable and unbiased

    Reliable = Free of random error. (stochastic error) Unbiased = Free of systematic error.

    ReliablePrecision

    UnbiasedAccuracy

  • MGH 30

    BiasReliability (a)intra-arterial cannula

    (b)sphygmomano-meter

    Unreliable

    Unreliable Results Cant be used.

    biased

    Validation

  • MGH 31

    Validity Unbiased

    Bias ReliableUnbiasedUnvalid

    Gold standard

    Internal VExternal V

    ValidReliableUnbiased

    Validation study

    -4 -

    Descriptive Statistics

    Pictorial Numerical summaries

    v

  • MGH 32

    Frequency distributions

    Frequency Table Frequency

    Percent

    Valid percent

    Cumulative percent

  • MGH 33

    -

    100 - ordinal

    Frequency Analysis

    significant figures

    92420420.452497551420

    0.452%45.2

  • MGH 34

    2650224,175,9000.00109621560.001090.0011110

    100,000

    Graphics 1 Bars

    . Frequency

  • MGH 35

    2 Pie

    SPSS AnalyzeDescriptive Statistics

    Frequencies Charts OK

  • MGH 36

    Histogram 512

    Grouping140160160180161179

  • MGH 37

    SPSS cm140

    cm140cm 1499

    Frequency Percent Cumulative frequency

    =190 4 0.2 100

  • MGH 38

    histogram

  • MGH 39

    histogram , bars

    bars

    Histogram

  • MGH 40

    Steam and leaf diagrams histogram

    leaves

    Frequency Stem & Leaf 3.00 1 . 259 12/15/ 19 4.00 2 . 0224 20/22/22/24 8.00 3 . 01125689 30/31/31/32/35/36/ 7.00 4 . 0002457 40/40/40/42/44/45/47 5.00 5 . 01127 50/51/51/52/57 4.00 6 . 2789 62/67/68/69 2.00 7 . 04 70/74 1.00 8 . 0 80

    Stem width: 10.00 Each leaf: 1 case(s) stem * stem width + leaf =X E.g. 1*10+2=12

  • MGH 41

    Frequency Analysis

    Crosstabulation

  • MGH 42

    CrosstabulationSPSS AnalyzeDescriptive statisticsCrosstabs

    Cells PercentageRowColumn

  • MGH 43

    Clustered bar chart

    male ,female

    Clustered bar chart

  • MGH 44

    22.2 20.6

    77.1 74.2

    0.8 1.20 4.30

    102030405060708090

    Male Female

    singlemarrieddivorcedwidowed

    Scale scatter plots

  • MGH 45

    Time series

    Time series

    0

    5

    10

    15

    20

    25

    30

    35

    1988 1990 1992 1994 1996 1998 2000 2002

    Income

    0

    2

    4

    6

    8

    10

    12

    14

    16

    0 30 60 90 120 150 180 210 240 270 300 330Times (minutes)

    Con

    cent

    ratio

    n (m

    g/10

    0 m

    l)

    Healthy not-healthy

  • MGH 46

    Stacked bar chart

    3-D graphics

    single marrieddivorced widowed

    single married divorced widowed

  • MGH 47

    None Win Mac

    01020304050607080

    `

    Mac Win None

    n

    MacWinNone

    McGill

  • MGH 48

    0102030405060708090

    Male Female

    singlemarrieddivorcedwidowed

    Stacked bar chart

    Stacked bar chartClustered bar chart

    1990

    2000

    0

    20

    40

    60

    80

    100

    120

    Male Female

    widoweddiv orcedmarriedsingle

    1990 1992 1994 1996 1998 2000

    Income

    1990 1992 1994 1996 1998 2000

    Income

  • MGH 49

    0

    50

    100

    150

    200

    250

    1990 1992 1994 1996 1998 2000

    Income

    198200202204206208210212214

    1990 1992 1994 1996 1998 2000

    Income

    1980

  • MGH 50

    Rubber-band Scales

  • MGH 51

  • MGH 52

    11010

    100

    1970

    100

    100

    10101 1001002 100010003 10010

  • MGH 53

    21

    3

    1 2 3

    - :

  • .

    45 HGM

    5

    : )tnemirepxe(

    ) ....( : . )ecaps elpmaS( . )semoctuO( : )tnevE(

    . : :

    . }6,5,4,3,2,1{ * . 6,5, 4, 3, 2 ,1 semoctuO * 1 *

    ...) : )elpmiS(

    dnuopmoC ()

    ( . ( {1} ) 1 :

    4 2 .. }6,4,2 { 6

    B A :(noinU) . B U A

    A : (noitcesretnI) . B A B A: )tnemelpmoc(

    . A A A :

    .

    : .

    : . A * . B *

  • .

    55 HGM

    B U A * .

    BA * .

    4 321 ) A * (6 .

    B ,A : .

    :)evisulcxe yllautuM( .

    3 1 : * .

    a n: . n/a

    84 001 : * . 84.0

    : (ytilibaborp) .

  • .

    65 HGM

    A B

    B,A B, A

    1 < P > 0 : P

    . ) ( 0=P * . ) ( 1=P *

    A( B A: . )B U

    6/1 1 * 6/2 3 1 6/1 3

    )A( : P -1 . 3.0 = 7.0-1 7.0 *

    : B A: )B A( P )B(P + )A(P = )B U A( P

    ( 6 4 2 ) 2 * )6/4( = )6/1( )6/2( + )6/3( = P(6, 3 ) 3

    (

    B UA * )( .

    M 2E N 1E: . M x N

    * .

  • .

    75 HGM

    01 5 *= 01 x 01 x 01 x 01 x 5 = M x N x....... :

    00005

    sddO . . : )ssol( ytilibaborp / )niw( ytilibaborP= )P-1( / P = sddO

    )sddO+1( / sddO = P

    ) P : sddo

    .( P > sddO . sddO P )1.0< P( P : . 1 = sddO ) 5.0=P( :

    ytilibaborP lanoitidnoC

    A B A . B

    : )3,2,1( : A * )4,3,2( : B * ) B = 6/3 A *

    A 4,3,2( . 3/2

    . )B|A(P : . )B( P / ) B A( P = )B|A( P : ) 6/2 B A )BA( P

    . 3/2 = )6|3( / )6|2( = )B|A( P : ( 3 2

    stneve tnednepednI

    B A .

  • .

    85 HGM

    . 1 A : . 3 B

    ( 3 ) B .6/1

    . )B(P = )A|B(P )A(P = )B|A( P :

    : B A )B(P * )A(P = )BA( P

    : . = *

    .

    : 001 *

    001 (0103 *.172)

    4 . ) (

    001 *

    .

    ...... ( ** ) ) ( . .

    : Ai :

    )iA|B(P * ) iA(P = )B( P :

    )B( P / )iA|B(P * )iA(P = )B|iA( P

    . B %06 A :

    . : %05 %03 %04

  • .

    95 HGM

    ) ( * .

    * * . : ) (

    00001 0083

    %83 0081 0083 :

    . %4.74 0083/0081 0024 0026 :

    %7.76 0026/0024 .

    %1 %5 %99

    . *

    *

  • .

    06 HGM

    99 495 * 495/99

    . %7.61 6049 *

    5049 . %989.99

    . %1

    %5 %99 *

    . . *

    .

    yticificepS ytivitisneS

    :: )PT( *

    . evitisoP eurT( ) PT

  • .

    16 HGM

    : )PF( * ( evitisoP eslaF )

    ) ( . evitageN eslaF :)NF( * ( .) evitageN eurT :)NT( * . NF + PT: )tneitaP( * : . )yhtlaeh( * . : )tset +( * . : )tset ( * : . )lla( *

    : ytivitisneS *

    . : / PT *

    tneitap / PT = ytivitisneS yticificepS:

    *

    * :

    . yhtlaeh / NT = yticificepS

    : VPP eulav evitciderp evitisoP : *

    )tset +( / PT = VPP : VPN eulav evitciderp evitageN

    : * )tset - ( / NT = VPN

    :

  • .

    26 HGM

    *

    . *

    .

    : )( %59 *

    )( %09 ) %01

    ( . ) (

    . 00001 *

    . 0001 0009 %01 * %59 *

    059 59.0 * 0001 0001 . 05

    0009 %09 * . 009 0018 9.0 * 0009

    . *

    : * %59 = 0001 / 059 = tneitap / PT = ytivitisneS *

    : : * % 4.15 = 0581 / 059 = )tset+( / PT = VPP *

  • .

    36 HGM

    : * %4.99 = 0518 / 0018 = )tset-( / NT = VPN *

    ( %09 %59 )

    . %01 %1

    59 099 5801 5 0198 5198

    001 0099

    %8.8 = 5801 / 59 = VPP : . %8.8 * :

    %49.99 = 5198 / 0198 = VPN . *

    .

    VPN

    VPP

    :

    .

    : ) ( .

    0

    02

    04

    06

    08

    001

    21 01 8 6 4 2 0

    VPPVPN

  • .

    46 HGM

    setar ytilatroM

    001

    0203

    040506

    0708

    001 09 08 07 06 05 04 03 02 01 0sititapeH %

    %

    yspoib lacidem yregruS

    .

    gnikaM-noisiceD lacinilC

    05 . esatahpsohp enilaklA TPGS

    : : (sititapeh cilohocla ) E

    )(. ( sitignalohc) E

    . . %5 :

    . % 5 : : .1 : : ) ( .2

    . %05 : 0 . %01 : 0

    : : ) ( .3 . %52 : 0 . %57 : 0

    ) ( ) ( .

    1

    2

    3

  • .

    56 HGM

    ( : 1 ) * .

    : ( :2 ) * .

    : ( :3 ) *

    . %5 *

    %89 %05 .

    . .

    : %5 %01

    . %05 .1 .2 .3

    .4 .5 . ) (

    %05 .1 .

    %52= 0001/052 = .2= 0009/052 = .3

    %68.2

  • .

    66 HGM

    = 000,01/052 = .4 %5.2

    = 000,01/057,8 = .5 %5.78

    .

    - %01

    .

    : : =

    x x

    . :)detceffanu|reirraC( P :

    )detceffanU( P , 2/1 = )detceffanu dna reirraC( P 4/3 =

    )detceffanu( P / )detceffanu dna reirraC( P = )detceffanu|reirraC( P 76.0 = )4/3( / )2/1(=

    : %01 760.0 = 1.0 * 76.0 = P

    %52 :

    )% 7.1( 57610.0 = 52.0 * 760.0 = P

    : dlihc 000,01/52 = )%52.0( 5200.0 = 52.0 * 1.0 * 1.0= P

  • .

    76 HGM

    -6-\

    elbairav modnaR : . :

    * . 01 0

    . *

    . ( )

    . :

    . :

    .

    : . X * : *

    4 3 2 1 0 : X 5 52651.0 5213.0 5213.0 52651.0 52130.0 : P 52130.0 57869.0 5218.0 5.0 5781.0 52130.0 :cP 1

    : cP P :: X : *

    : . X : . P .

    .Pc

  • .

    86 HGM

    laimoniB : noitubirtsid laimoniB

    . N *

    . * . * . p * ) ( *

    : ,01=n) 01 *

    (5.0=p ,8=n) 8 4 *

    (761.0=p 01 *

    .(10.0=p ,01=n) 10.0 : SSPS

    n ) ( )p ,n ,X (moniB.FDP =P .1. p

    . X .)p ,n ,X( moniB.FDC =cP .2

    . X

  • .

    96 HGM

    : X : X : )p ,n ,1-X( moniB.FDC -1=cP-1

    : 761.0=6/1=p 6=n ) 6 * 5 *

    8350. = )761.0 ,6 ,3 (moniB.FDP =P 2 1 0 ) 5 *

    ( 45 3 32199.0 = )761.0 ,6 ,3( moniB.FDC=P

    5 4 3 ) 5 * ( 6

    6260.0 = )761.0 ,6 ,2( moniB.FDC -1=P ) ( *

    433. = )761.0 ,6 ,0 (moniB.FDP = P

    noitroporP . . 02 %01 :

    3 * 91.0 = )1.0 ,02 ,3(moniB.FDP =P

    5 * 40.0 = )1.0,02,4( moniB .FDC 1 = P

    ... * 21.0 = )1.0 ,02 ,0(moniB.FDP = P

    nossioP

    . :

    . * . * . *

    :

    . : SSPS

  • .

    07 HGM

    ),X( nossioP.FDP=P : .1 .

    : ),X( nossioP.FDC=cP .2 :

    x 3 * 3) )3( nossioP

    (.3= : *

    6 5 4 3 2 1 0 : X 101.0 861.0 4202.0 422.0 941.0 050.0 :P 7 220.0 050.0 669.0 619.0 518.0 746.0 324.0 991.0 050.0 :cP

    889.0

    : *

    422.0 = )3,3( nossioP.FDP=P

    746.0 = )3,3( nossioP.FDC=P

    775.0 = )3,2( nossioP.FDC-1=P

    x 3 :

    X : )3,X(nossioP.FDC E (.) 91324.0 = )3,2(nossioP.FDC : E

    ( 1 0 ) : 8675.0 = 91324.0-1 E

    . ....( 543 )( 102 ) E

    . :

    * 5

  • .

    17 HGM

    04 . 04

    3 32-E 5.7 = )5,04( nossioP * .

    .

    etaR :

    000,001 01 E 6 000,02

    000,001 01 ) E : (4 000,02

    01.0 = )4,6( nossioP.FDP= P 5

    E .

    E .

    : . p : 0 : 0

    .

    ) ( )

    ( 261 )x(F )x(f

    . ...... : :

    051 041 . )041(F )051(F

  • .

    27 HGM

    =P )071(F 071 =P )071(F -1 071

    : :

    ) ... (

    .

    .

    .

  • .

    37 HGM

    : ) ( E (evitagen ) ( evitisop ) E

    . ladom . U

    : E

    .

  • .

    47 HGM

    E .

    : E

    ( ) ) (

    - - - : -

  • .

    77 HGM

    - 7-

    ecnairav & ycnednet lartneC

    ycnednet lartneC : , :

    : naeM ) / (

    . eulav detcepxe . : edoM : )(

    E sdohtem lacirtemarap

    -non . sdohtem lacirtemarap

    : naideM E .

    : :(1) E 581 771 071 851 541 431

    391 661 = 7 / )391++541+431( = naeM ( . 071 ) naideM 7 naideM . edoM :(2) E

    001 001 001 001 001 001 001 001 001 0001

    . 001 = naidem , 091 = naeM

    .

  • .

    87 HGM

    elbailer

    . naideM naeM

    )( . edoM > naideM > naeM :

    . )(

    / :

    .

    . ) ( :

    . )

    (. .

    sreiltuO ) ( .

    04 054 021-08

  • .

    97 HGM

    ) .... (

    : . ) / (. )

    (.

    selitnecreP & selitrauQ : .

    %05 naideM

    rewoL %52 elitrauQ

    reppU %57 litrauQ

    elitnecrep-n n

    . . 001 : 431 = muminiM : 1 391 = mumixaM : 001 05 = naideM : 05 =elitrauq rewoL : 52

    851 771 = elitrauq reppU: 57

    5ht 541 = elitnecrep : 5 59ht =elitnecrep: 59

    581

    -ixaMmum

    ht59-necrepelit

    reppUnaidemelitrauq

    rewoLelitrauq

    ht5-necrepelit

    -iniMmum

    1552055759001

    431541851071771581091

    -ixaMmum

    ht59-necrepelit

    reppUnaidemelitrauq

    rewoLelitrauq

    ht5-necrepelit

    -iniMmum

    1552055759001

    431541851071771581091

  • .

    08 HGM

    : : STRAHC

    : (ni, mc )

    . .

    ( )

    52 : 52 . 57

    5 . 59

    ecnairaV fO serusaeM :

    .

    : egnaR .1 mumixaM = egnaR :

    muminiM: ytilibailernU :

    .

  • .

    18 HGM

    : (RQI) egnaR elitrauqretnI .2 rewoL elitrauQ reppU = RQI :

    elitrauQ

    .

    : ecnairaV .3-N( / )naeM X( muS :ecnairaV :

    )1 1 /

    0 N 1-N

    ) 1-N 0 (naem

    ) ( . desaibnU 1-N N ) (

    . 1-N . :

    .

    :) ( noitairaV: V lacigoloiB eurT

    . snoitavresbo gnikaM

    : snoitidnoc tnereffid rednu ) ( citametsyS

    .

  • .

    28 HGM

    : V tnemerusaeM .

    . ) (: :

    : noitairav tcejbus-nihtiW .

    : stcejbus neewteb noitairaV .

    : noitaiveD dradnatS .4 )ecnairaV( RQS =DS : . ) :

    (. ecnairaV DS naeM DS*N

    : noitairav fO tneiciffeoC .5 naeM / DS = noitairav fO tneiciffeoC : :

    (. )

    .

    . ) = +

    (. . . 2 051 %1 :

    ( Hp lC K aN) %01 .%04-01

    : .6 :

    :)ssenwekS( .

    (. ) : )sisotruK( . .

    .

  • .

    38 HGM

    noitubirtsiD lamroN ) , ,X (lamroN.FDP = )x(f :

    :

    )( . ) ( . )( . + - . 1

  • .

    48 HGM

    : ,-( )+

    6286.0 ,2-( )2+

    4459.0 ,3-( )3+ 3

    4799.0

    . 01 061 . 071 .1

    071 ) ( . 1.071 9.961

    . 071 051 .2-)01,061,071(LAMRON.FDC =P

    386.0 = )01,061,051(LAMRON.FDC

    : 051 .3 6851. = )01,061,051( lamroN.FDC=P

    571 .4

  • .

    58 HGM

    8660. = )01 ,061 ,571( lamroN.FDC -1 =P

    2 .5 176130000. = )01 ,061 ,002( lamroN.FDC -1 = P

    )nollim/23(

    051 ,X( lamroN.FDC

    )01, = 071 051 X

    . 051 071 1 = 071

    . 071

    % 01

    . : ) (

    )1.0-1(=)01,051,X( lamroN.FDC :

    ), , p( lamroN.FDI =X 8.271 = )01 ,051 ,9.0( lamroN.FDI = X

    : : noitcnuF ytisneD ytilibaborP E

    ), ,X(lamroN.FDP=P SSPS .

    noitcnuF noitubirtsiD evitalumuC E

    ), ,X(lamroN.FDC =P SSPS snoitcnuF noitubirtsiD esrevnI E

    : SSPS ), ,p(lamroN.FDI=X

    : :

  • .

    68 HGM

    :) ...( .1 .

    . ) ...(. .2 (. FDI,FDC ,FDP ) .3 . .4

    . Z 1 0 x:

    . /)-x(=z (elbairaV dezidradnatS ) z

    . 061 01 051 :

    1 1=01/051-061 .

    .

    .

    . %99 ]3+,3-[ Z

    . . 3+>Z 3-

  • .

    78 HGM

    . (nX ,3X 2X ,1X ) : :

    .

    naeM . )n( rqS/

    . )n( rqS/ naem eht fo rorrE dradnatS DS

    :

    noitubirtsiD lamroN . . :

    . ) (

    . kcabdeeF :

    . )( . :

    : .

  • .

    88 HGM

    : kcabdeeF

    .

    .

    .

    .

    SSPS

    : : SSPS

    . sevitpircseD scitsitatS evitpircseD ezylanA . mumixam ) snoitpO

    .)....... ecnairav ,egnar, muminim, . , KO

    :

  • .

    98 HGM

    : SSPS . erolpxE scitsitatS evitpircseD - ezylanA . elbairav tnednepeD evitpircseD ) scitsitatS

    sreiltuO ...( elitnecreP

    .( tlopxoB ,faeL dna metS, margotsiH) stolP

  • .

    09 HGM

    )(

    :

  • .

    19 HGM

    tolpxoB

    .

  • .

    29 HGM

    . naideM ( ) .

    .

    .

    erolpxE erolpxE

    . scitsitatS evitpircseD ezylanA : :

    . erolpxE . elbairav tnednepeD . tsil rotcaF

  • .

    39 HGM

    :

    ) : ( .

    sreiltuO

    . sreiltuO

  • .

    49 HGM

    )(: : : lacirtemaraP .I

    2 > |Z| = reiltuO laitnetoP

    3 > |Z| = reiltuO dekraM

    . %5.0 %5 6>Z Z 01 BD

    ) (. . . tolP P-P margotsiH

    : lacirtemarap-noN .II egnaR elitrauqretnI *5.1 edistuO = reiltuO laitnetoP egnaR elitrauqretnI*3 edistuO = reiltuO dekraM

    : . (RQI*3) . RQI( *3) RQI( *5.1)

    : sreiltuo dna tolpxoB

    QLMQU

    123456789011121314151

    621031051051051551651061061261461461561081781

    QLMQU

    123456789011121314151

    621031051051051551651061061261461461561081781

    051= QL : E )( .

    061= : M E ) (

    461= QU : E . )(

    : RQI E

    41 = 051-461 = RQI

    : E

  • .

    59 HGM

    00.

    51.

    1.5

    2.2.

    5rF

    qeeu

    cny

    08 06 04 02 0)syaD( yatS fo htgneL

    2= ) 5.1 *41( :RQI *5.1 581 = 12 + 461 921 = 12 051

    laitnetoP 921 581 0

    . : E

    24 = ) 3 * 41( :RQI *3 801 = 24 051

    602 = 24 + 461

    dekraM 801 602 0 .

    . : (1)

    8.02

    0.41 [ 82.84, 96.6-] %59

    . [05, 3 ] %59 .

    ( :2 )

    . 1.5

    4.6 ,4.7-[ %59 . ]6.71

    . , 5 = Z( 5=4.6/1.5-73 = Z : 73

    . ( )noillim/3.0=P

  • .

    69 HGM

    %59 73

    :

    . naideM naeM : .ssenwekS .)( : sisotruK : ) margotsiH fael dna metS

    (. tolP xoB : tolp ytilibaborP lamroN

    .

    ) D vorogomloK kliW-oripahS . (

    . sisotruK ssenwekS

  • .

    79 HGM

    ) (. .

    .001 . liaT yvaeH

    noitubirtsid laitnenopxE: .1

    ) (

    . sselyromeM

    . . PXE.FDP SSPS

    ::

    ) ( 3= . 3/1

    . :

    . . . sselyromeM

    ) ( .

    -

    .

    : .2

  • .

    89 HGM

    : (.A.)

    : (.B)

    : (.C) .

    (.D).

    .

    : ammaG .3

    .

    . . AMMAG.FDP

    : mrofinU .4 )

    . ( .

    .

    SSPS . MROFINU.FDP

    .

  • .

    99 HGM

    .5

    . U

    :

    =6/3 75 =6/3 . : : 85 . : NT : 16

    : .

  • .

    101 HGM

    8

    ataD lacitsitatS

    . : 0 : susneC 0

    . 002 001 stcart susnec

    ) ... ( ) ....(

    : . .1 ..( ) .2 . .3

    .

    : gnilpmaS 0

    . :

    . : noitalupoP

    . etinifnI etiniF 4002

    . 4002

    . .: elpmaS

    81 0

    evitatneserper .

    sdohteM gnilpmaS

  • .

    201 HGM

    : gnilpmaS :gnilpmaS modnaR

    . : gnilpmas modnar-noN

    .

    : gnilpmaS modnaR elpmiS .1

    . : ) :

    ( ) (. :

    .

    : gnilpmaS deifitartS .2( )

    ) ( ) ( . . atartS

    .

    : gnilpmaS retsulC .3. retsulC

    . . . .

    .

    retsulC deifitarts

  • .

    301 HGM

    )

    (

    )

    (

    .

    .

    .

    : gnilpmas egats-itluM .4

    .

    .

    .

    : gnilpmaS citametsyS

    ) ( . .

    9

    noitamitsE

    0 .

    )

    ... ( .

  • .

    401 HGM

    05>n

    .

    naem elpmas a fo rorre dradnatS

    . )n(rqs/S

    . n S : .

    . )

    (. .

    :

  • .

    501 HGM

    . ) (

  • .

    601 HGM

    noitamitsE tnioP

    .

    . 05

    . 961 961

    noitamitsE lavretnI

    . noitamitsE lavretnI P

    . .IC lavretnI ecnedifnoC

    : 59.0=P ]5.171-5.661[

    . %59 :

    )naem fo rorrE dradnatS *Z( naeM

    )1-N( rqS / noitaiveD dradnatS = naem fo rorrE dradnatS

    :

    . naeM 0 . rqS N 0 ) ( . Z 0

    . ( Z . ) %59 69.1 ) ( :

    . (noitaiveD dradnatS ) 0 . 0 ( Z ) 0

    .

  • .

    701 HGM

    ) ( ) .(

    ) . P(

    : E.S * Z P = )P( 0

    ] n / )p-1( * p [ rqS = )P( .E.S 0

    Z E.S * Z P = )P( : IC 0

    .( 69.1=Z %59)

    : . 51 04 E 573.0 = 04/51 = P : E : %59 E

    051.0 573.0 =] 04 / 526.0 * 573.0 [ rqS* 69.1 573 .0

    ]5.25-5.22[ %59 E) %59

    (%5 ]2.75-8.71[ %99 E

    . (%1) %99 04) : E

    . (

    01 gnitseT sisehtopyH

    sisehtopyH evitanretlA & lluN

    : . %52 . P . 52.0=P : : oH

  • .

    801 HGM

    .52.0>P : : aH )

    (. :

    . .I . .II

    .III .

    : .

    ( ) .

    , < , > = :

    52.0 > P : aH 52.0 = P :oH P )( : sisehtopyh dedis enO

    7.0 < P 52.0> P . P : sisehtopyh dedis owT

    . 52.0 P :

    )(.

    }02..,9,8{

    oH X 11=X . aH

    : . deliaT reppU X: 52.0>P 0 . deliaT rewoL X :7.0P :aH 52.0=P :oH 0

  • .

    901 HGM

    : . 0 11=X X }02, ,01 ,9{ 0

    . 11

    :deliaT rewoL .2

    . 52.0

  • .

    011 HGM

    oH tcejeRrorrE I epyTrorrE oN

    oH tpeccArorrE oNrorrE II epyT

    eslaF :oH52.0>P

    eurT :oH52.0 = P

    oH tcejeRrorrE I epyTrorrE oN

    oH tpeccArorrE oNrorrE II epyT

    eslaF :oH52.0>P

    eurT :oH52.0 = P

    I . rorrE ahplA I . oH= I :

    ( 52.0>P 52.0=P 02) .}02..,9,8{

    02 ro .. ro 9 ro 8=X I ( 218101.0= )

    . %1.01

    II

    . - rorrE ateB II . oH = II aH> 052.( 52.0=P : oH : )

    . P: . P

    P ( P :aH>0 52 , 52=P :oH : ) }02..,9,8{

    ( .P ) . )p(B , P

    p 7.0 6.0 5.0 4.0 3.0 )p(B 100.0 20.0 31.0 24.0 77.0

    5.0=P . %31

  • .

    111 HGM

    =3R }02,9{=2R }02..,8{= 1R

    : }02,,01{

    3R410.0259.0557.0214.0821.0710.0

    2R40.0788.0695.0252.0750.0500.0

    1R201.0277.0614.0231.0120.0100.0

    3.04.05.06.07.0 P )P(B

    3R410.0259.0557.0214.0821.0710.0

    2R40.0788.0695.0252.0750.0500.0

    1R201.0277.0614.0231.0120.0100.0

    3.04.05.06.07.0 P )P(B

    : ) (

    .P

    ( . ) ) .

    P (

    : ecnacifingiS fo leveL : ,

    ) 50.0 . ( 59.0

    I .

    tseT leveL .

    50.0 : : 2R . 50.0

  • .

    211 HGM

    10.0 50.0

    ) : . ( 100.0

    sorrE ateB dna ahplA

    0

    2.0

    4.0

    6.0

    8.0

    1

    2.0 51.0 1.0 50.0 0rorre ahplA

    eBat

    E rr

    ro

    052=N 001=N 52=N

    .

    tseT .

    ( }02,..,11,01,9{ 2R) 50.0 . rewoP

    fo rewoP ) .IIrorrE-1 = )p( )p( ( tset

    02.0 50.0 08.0

    P: ecnacifingis fo leveL P

    ( .%5 )

  • .

    311 HGM

    lacitirC: seulaV lacitirC

    . lavretni ecnedifnoC: IC

    .

    52.0 :

    : 52.0=P : oH : 0 . 52.0> P : aH : 0 0

    : : P .1

    .

    : ) (

    : P )

    aP 52.0=oP (. 11 7.0=aP 325 3.0=aP

    : ) (

    ) ( : ) ( .2

    . P 50.0 : 3.0=P :

    10.0 325 . 1821

    : .3 ( )

    . P 3.0=P

    ) ( 50.0 .

  • .

    411 HGM

    10.0 = 182106126330259.0 =

    50.0 = 617498312319.0 =

    50.0 = 325079271118.0 =

    3.0 =P4.0 =P5.0 =P6.0 =P7.0 =P

    10.0 = 182106126330259.0 =

    50.0 = 617498312319.0 =

    50.0 = 325079271118.0 =

    3.0 =P4.0 =P5.0 =P6.0 =P7.0 =P

    0 . 59811 %08 %5 62.0=P

    2 ^ ] d/ S * ) bZ + aZ( [ = N 0

    IC seulav-P :

    . IC 0 ) ( eulav-P 0

    . : IC ,

    : . -P 50.0

  • .

    511 HGM

    C000529.8 ot 1.1210.0

    B00043.35.8 ot 5.4-45.0

    B043358 ot 54-45.0

    A00030484 ot 23100.0P) P sisehtopyH lluN

    . 50.0

  • .

    251 HGM

    tseT-T selpmaS-deriaP

    . tseT-T tnednepeD :

    0 0

    : 0

    .

    0 . 0

    T : tnednepednI ytilamroN

    . ecnairaV fo ytienegomoH

    : tseT T selpmas deriaP snaem erapmoC ezylanA 0

  • .

    351 HGM

    0) / (

    .

    : ) 0

    (.

    0 .

    0 )

    (. .

  • .

    451 HGM

    64: 0 . 5

    :

  • .

    651 HGM

    rehsiF derauqs -ihC

    : . 0

    : ( ) 0

    :

  • .

    751 HGM

    : %3.4 %2.5 0

    .

    . derauqs -ihC 0 scitsitatS noitalubatssorC 0

    derauqs-ihC

  • .

    851 HGM

    :

    erauqS-ihC nosraeP 0 . 833.0

    0 %8.33

    . : derauqs-ihC

    . 0 ( 50.0>P / ) 0

    .

    50.0

  • .

    951 HGM

    %52 5 : 0

    . tset tcaxE rehsiF ihC 0

    .

    dnert rof tset derauqs-ihC :

    . 0 0

    . . 0

    : 000,01) 0

    ( 00,04 000,04 000,02 000,02 000,01

    . ) ( serauqs-ihc

    . P noitaicossa raenil yb raeniL

    noitalerroC

    : . 0

    : ( ) 0

    . ( )

    ) ( .

    tneiciffeoc noitalerroC .

    : . etairaviB etalerroC ezylanA 0 . 0 nosraeP stneiciffeoc noitalerroC 0

    . namraepS

  • .

    061 HGM

    . KO 0

    : : : noitalerroC nosraeP 0

    . . ohr s'namraepS cirtemarapnoN 0

    : . .

  • .

    161 HGM

    : : ]1+,1-[ r

    noitanimreted fo erusaem 0 X )( Y)(

    : ) 1- r 0 (.

    : . r 0 : ) 1 r 0

    (.) ecnacifingis

    . ( 50.0

    : . enifeD elpmiS rettacS hparG 0 . KO Y X 0

  • .

    261 HGM

    0

    . yB srekram teS redneg

    :

    : noitalopartxE

  • .

    361 HGM

    . R R

    . . R : sreiltuO

    .

    :spuorG suoenegomoh-noN 0

    .

    .

  • .

    461 HGM

    :

    ) Y X 0

    (. . 0 . 0 . sreiltuo 0

    J J

    : 56 .1

    % 5: : : 0) % 5 : :

    ( .( : 3 ) 0

    : . %5

    : 07 .2 ( 45 3 2 1 0 : o 3 2 1 0 : o

    : 27 .3 5.7* 01-32 5.7 E-32 = )5,04( nossioP E 5.7-32

    : 58 .4 )01, 061 ,X( lamroN.FDC )01, 051 ,X( lamroN.FDC

    . 52.0 => P : aH _ 52.0 > P : aH : 901 .5

  • .

    561 HGM

    . SSPS .6 ( . 3 56+- ) .7 .8

    .( ) : : .9

    !! .

    -

    :

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