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WORLD HEALTH ORGANIZATION INTERNATI
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N.E. Breslow & N. E. Day (1980) Sta
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CONTENTS Foreword .................
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PREFACE Twenty years have elapsed s
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ACKNOWLEDGEMENTS Since the initial
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LIST OF PARTICIPANTS AT IARC WORKSH
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1.1 The case-control study in cance
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INTRODUCTION 15 a specific disease
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History INTRODUCTION 17 In 1926 Lan
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INTRODUCTION 19 day human affairs c
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INTRODUCTION 21 cording to age, sex
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INTRODUCTION 1.5 Planning The case
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INTRODUCTION 25 determinants of sur
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INTRODUCTION 27 like exposed subjec
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INTRODUCTION 29 warrants careful co
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INTRODUCTION 31 strata, and formati
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INTRODUCTION 33 in which at least 1
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INTRODUCTION 35 analytical techniqu
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INTRODUCTION 37 ity; is it understo
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INTRODUCTION 39 Hutchison, G. B. (1
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2. FUNDAMENTAL MEASURES OF DISEASE
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MEASURES OF DISEASE 43 operate prio
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MEASURES OF DISEASE 4 5 change is r
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MEASURES OF DISEASE 4 7 veillance s
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MEASURES OF DISEASE 49 Fig. 2.3 Age
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MEASURES OF DISEASE t A (t) = 2 l(n
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MEASURES OF DISEASE Table 2.4 Cumul
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MEASURES OF DISEASE 55 exposed vers
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MEASURES OF DISEASE 57 Example: Fig
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MEASURES OF DISEASE 59 explore thes
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31 5 42.5 47.5 52.5 57.5 62.5 67.5
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MEASURES OF DISEASE 63 Fig. 2.8 Rat
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MEASURES OF DISEASE 65 Fig. 2.9 Age
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MEASURES OF DISEASE 67 Table 2.8 Jo
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2.7 Logical properties of the relat
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MEASURES OF DISEASE 71 Example: Sup
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MEASURES OF DISEASE 73 or similar b
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MEASURES OF DISEASE 75 categories i
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MEASURES OF DISEASE 77 RAR = AR2-AR
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MEASURES OF DISEASE 79 Court Brown,
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MEASURES OF DISEASE 8 1 Plk P2 k R
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CHAPTER I11 GENERAL CONSIDERATIONS
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86 BRESLOW & DAY 3.2 Criteria for a
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88 BRESLOW & DAY Fig. 3.1 Relative
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90 BRESLOW & DAY Considerations ext
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92 BRESLOW & DAY of this type can b
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94 BRESLOW & DAY decreases breast c
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96 BRESLOW & DAY E and those not ex
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98 BRESLOW & DAY The confounding ef
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BRESLOW & DAY Comparison of w* with
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Factor C+ Exposure E + - BRESLOW &
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104 BRESLOW & DAY there were limita
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106 BRESLOW & DAY to have a strong
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1 08 BRESLOW & DAY 3. If a factor i
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110 BRESLOW & DAY Table 3.6 Risk fo
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112 BRESLOW & DAY risk for some fac
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114 BRESLOW & DAY an additional cat
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116 BRESLOW & DAY Boice, J.D. & Mon
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118 BRESLOW & DAY Report of the Sur
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4. CLASSICAL METHODS OF ANALYSIS OF
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- Page 160 and 161: CHAPTER V CLASSICAL METHODS OF ANAL
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6.8 Regression adjustment for confo
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6.9 Analysis of continuous data LOG
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LOGISTIC REGRESSION FOR LARGE STRAT
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LOGISTIC REGRESSION FOR LARGE STRAT
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LOGISTIC REGRESSION FOR LARGE STRAT
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LOGISTIC REGRESSION FOR LARGE STRAT
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LOGISTIC REGRESSION FOR LARGE STRAT
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LOGISTIC REGRESSION FOR LARGE STRAT
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LOGISTIC REGRESSION FOR LARGE STRAT
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LOGISTIC REGRESSION FOR LARGE STRAT
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LOGISTIC REGRESSION FOR LARGE STRAT
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7. CONDITIONAL LOGISTIC REGRESSION
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LOGISTIC REGRESSION FOR MATCHED SET
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LOGISTIC REGRESSION FOR MATCHED SET
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LOGISTIC REGRESSION FOR MATCHED SET
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LOGISTIC REGRESSION FOR MATCHED SET
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LOGISTIC REGRESSION FOR MATCHED SET
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LOGIS-I-IC REGRESSION FOR MATCHED S
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LOGISTIC REGRESSION FOR MATCHED SET
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Table 7.7 Matched multivariate anal
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LOGISTIC REGRESSION FOR MATCHED SET
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Table 7.9 (contd) C. Dose, duration
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LOGISTIC REGRESSION FOR MATCHED SET
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LOGISTIC REGRESSION FOR MATCHED SET
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LOGIS'TIC REGRESSION FOR MATCHED SE
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Table 7.12 Coefficients (f standard
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LOGISTIC REGRESSION FOR MATCHED SET
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LOGISTIC REGRESSION FOR MATCHED SET
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APPENDIX I AGE (YRS) ALCOHOL (GM/DA
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APPENDIX 11: GROUPED DATA FROM THE
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APPENDIX II YEAR OF DEATH AGE AT DE
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APPENDIX II YEAR OF DEATH AGE AT DE
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APPENDIX 111: MATCHED DATA FROM THE
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292 APPENDIX Ill CASE OR CONTROL AG
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294 APPENDIX Ill CASE OR CONTROL AG
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296 APPENDIX Ill CASE OR CONTROL CA
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APPENDIX IV MAIN PROGRAM .C MASTER
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300 APPENDIX IV 103 FORMAT(1H ,'NUM
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302 APPENDIX IV C UPON CONVERGENCE
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APPENDIX IV MODEL WITH 2 VARIABLES:
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APPENDIX IV MODEL WITH 4 VARIABLES:
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APPENDIX V MAIN PROGRAM DIMENSION N
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31 0 APPENDIX V C REFERENCES : C N.
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APPENDIX V CALL SYMINV~COVI,NP,COV,
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APPENDIX V SUBROUTINE SYMINVCA, N,
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APPENDIX V SUBROUTINE TWIDL(X, Y, Z
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APPENDIX V MODEL WITH SINGLE VARIAB
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APPENDIX V MODEL WITH 3 VARIABLES:
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APPENDIX VI LISTING OF PROGRAM LOGO
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C C C C C C APPENDIX VI SUBPROGRAM
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APPENDIX VI SUBROUTINE CALC(NTAB,P,
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328 APPENDIX VI SUBROUTINE MYSTCT,
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APPENDIX VI DOUBLE PRECISION FUNCTI
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332 APPENDIX VI C C C C C C REDUCE
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MODEL WITH LINEAR EFFECT OF YEAR RE
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TABLE A 0 E 31 12 10.64 32 4 5.12 3
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0 03 TABLE A B 0 E 0 E 9 1 6 7.06 6
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340 SUBJECT INDEX Biological monito
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342 SUBJECT INDEX Confounding risk
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344 SUBJECT INDEX Grouped data anal
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346 SUBJECT INDEX Matched case-cont
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348 SUB.IECT INDEX Poisson variabil
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350 SUB-IECT INDEX Tobacco consumpt