3. general considerations for the analysis of case-control ... - IARC

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APPENDIX II YEAR OF DEATH AGE AT DEA-rH X-RAYED CASES CONTROLS YES NO YES NO YES NO YES NO YES IVO YES NO YES 1'40 YES NO YES NO YES NO YES 1'40 YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO
CHILDHOOD CANCER SURVEY YEAR OF DEATH AGE AT DEATH X-RAYED CASES CONTROLS YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO YES NO
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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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ANALYSIS OF GROUPED DATA Table 4.1
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ANALYSIS OF GROUPED DATA 125 such a
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Estimation of q ANALYSIS OF GROUPED
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ANALYSIS OF GROUPED DATA 129 for th
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ANALYSIS OF GROUPED DATA 131 analog
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ANALYSIS OF GROUPED DATA 133 Referr
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ANALYSIS OF GROUPED DATA 135 Halper
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ANALYSIS OF GROUPED DATA 137 are pa
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ANALYSIS OF GROUPED DATA 1.39 signi
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ANALYSIS OF GROUPED DATA 141 strata
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ANALYSIS OF GROLIPED DATA 143 appro
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ANALYSIS OF GROLIPED DATA 145 Table
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ANALYSIS OF GROUPED DATA Exposure l
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ANALYSIS OF GROUPED DATA 149 Nor wi
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ANALYSIS OF GROUPED DATA 151 Alcoho
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ANALYSIS OF GROUPED DATA 153 relati
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ANALYSIS OF GROUPED DATA 155 obtain
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ANALYSIS OF GROUPED DATA 157 Gart,
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ANALYSIS OF GROUPED DATA 159 Cov(x,
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CHAPTER V CLASSICAL METHODS OF ANAL
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164 BRESLOW & DAY 5.2 Matched pairs
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166 BRESLOW & DAY Approximate confi
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168 BRESLOW & DAY where 2.42 = F.,,
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170 BRESLOW & DAY The first and las
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BRESLOW & DAY This is a special cas
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ANALYSIS OF MATCHED DATA Case Expos
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176 BRESLOW & DAY or limits of 3.8-
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BRESLOW & DAY Table 5.3 Data layout
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180 BRESLOW & DAY Case : control ra
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182 BRESLOW & DAY = 11.82, from whi
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184 BRESLOW & DAY observed and expe
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BRESLOW & DAY Their solution, obtai
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188 BRESLOW & DAY Miettinen, 0. S.
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6. UNCONDITIONAL LOGISTIC REGRESSIO
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LOGISTIC REGRESSION FOR LARGE STRAT
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LOGISPIC REGRESSION FOR LARGE STRAT
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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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Page 232 and 233: LOGISTIC REGRESSION FOR LARGE STRAT
Page 244 and 245: 7. CONDITIONAL LOGISTIC REGRESSION
Page 246 and 247: LOGISTIC REGRESSION FOR MATCHED SET
Page 256 and 257: LOGIS-I-IC REGRESSION FOR MATCHED S
Page 260 and 261: Table 7.7 Matched multivariate anal
Page 264 and 265: Table 7.9 (contd) C. Dose, duration
Page 270 and 271: LOGIS'TIC REGRESSION FOR MATCHED SE
Page 272 and 273: Table 7.12 Coefficients (f standard
Page 278 and 279: APPENDIX I AGE (YRS) ALCOHOL (GM/DA
Page 280 and 281: APPENDIX 11: GROUPED DATA FROM THE
Page 284 and 285: APPENDIX II YEAR OF DEATH AGE AT DE
Page 286 and 287: APPENDIX 111: MATCHED DATA FROM THE
Page 288 and 289: 292 APPENDIX Ill CASE OR CONTROL AG
Page 290 and 291: 294 APPENDIX Ill CASE OR CONTROL AG
Page 292 and 293: 296 APPENDIX Ill CASE OR CONTROL CA
Page 294 and 295: APPENDIX IV MAIN PROGRAM .C MASTER
Page 296 and 297: 300 APPENDIX IV 103 FORMAT(1H ,'NUM
Page 298 and 299: 302 APPENDIX IV C UPON CONVERGENCE
Page 300 and 301: APPENDIX IV MODEL WITH 2 VARIABLES:
Page 302 and 303: APPENDIX IV MODEL WITH 4 VARIABLES:
Page 304 and 305: APPENDIX V MAIN PROGRAM DIMENSION N
Page 306 and 307: 31 0 APPENDIX V C REFERENCES : C N.
Page 308 and 309: APPENDIX V CALL SYMINV~COVI,NP,COV,
Page 310 and 311: APPENDIX V SUBROUTINE SYMINVCA, N,
Page 312 and 313: APPENDIX V SUBROUTINE TWIDL(X, Y, Z
Page 314 and 315: APPENDIX V MODEL WITH SINGLE VARIAB
Page 316 and 317: APPENDIX V MODEL WITH 3 VARIABLES:
Page 318 and 319: APPENDIX VI LISTING OF PROGRAM LOGO
Page 320 and 321: C C C C C C APPENDIX VI SUBPROGRAM
Page 322 and 323: APPENDIX VI SUBROUTINE CALC(NTAB,P,
Page 324 and 325: 328 APPENDIX VI SUBROUTINE MYSTCT,
Page 326 and 327: APPENDIX VI DOUBLE PRECISION FUNCTI
Page 328 and 329: 332 APPENDIX VI C C C C C C REDUCE
Page 330 and 331: 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
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