Case-Control Studies: Design, Conduct, AnalysisOxford University Press, 1982 M01 21 - 368 páginas |
Contenido
| 7 | |
| 10 | |
| 17 | |
| 20 | |
| 25 | |
Basic Concepts in the Assessment of Risk | 27 |
22 Relative Measures of Disease Occurrence | 32 |
23 Cohort and CaseControl Sampling Schemes | 34 |
55 Summary | 143 |
Sample Size | 144 |
61 Sample Size and Power for Unmatched Studies | 145 |
62 Sample Size and Power with Multiple Controls per Case | 150 |
63 Smallest Detectable Relative Risk | 152 |
64 Optimal Allocation | 154 |
65 Adjustment for Confounding | 159 |
66 Sample Size and Power for PairMatched Studies | 160 |
24 Risk of Disease Attributable to Exposure | 40 |
25 Exposure | 45 |
26 Interpretation of Relative Risk Data Example | 49 |
27 Cumulative Risk of Disease | 52 |
28 Association and Testing for Significance | 53 |
29 Relative Risk as a Measure of the Strength of Association | 56 |
210 Confounding | 58 |
211 Interaction | 63 |
212 Summary | 68 |
Planning and Conducting a Study | 69 |
32 Definition of Cases | 71 |
33 Defining a Control Group | 76 |
34 Methods of Selecting Cases and Controls | 80 |
35 Developing the Research Instrument | 86 |
36 Informed Consent and Confidentiality | 92 |
37 Pilot Testing | 94 |
38 Preparing and Conducting Field Operations | 97 |
39 Preparation for Data Analysis | 99 |
310 Checklist for Protocol Development | 101 |
Matching | 105 |
41 Criteria for Matching | 107 |
42 Overmatching | 109 |
43 Alternatives to Matching | 111 |
44 Effectiveness Matching and its Alternatives | 115 |
45 Expected Number of Matches | 117 |
46 How Closely Should One Match | 118 |
47 Advantages and Disadvantages of Matching | 120 |
48 Summary | 122 |
Sources of Bias | 124 |
52 Bias in the Estimation of Exposure | 135 |
53 Misclassification | 137 |
54 Other Sources of Error | 140 |
67 Sequential CaseControl Studies | 163 |
68 Further Considerations in Estimating Sample Size | 165 |
69 Summary | 170 |
Basic Methods of Analysis | 171 |
71 Unmatched Analysis of a Single 2 X 2 Table | 174 |
72 Adjustment for Confounding | 181 |
73 Assessment of Individual and Joint Effects of Two or More Variables | 196 |
74 Test for Dose Response | 200 |
75 TestBased Confidence Limits | 206 |
76 Matched Analysis with One Control per Case | 207 |
77 Matched Analysis with Two Controls per Case | 213 |
78 Matched Analysis with Three of More Controls per Case | 216 |
79 Estimation of the Etiologic Fraction | 220 |
Multivariate Analysis | 227 |
81 Interpretation of Logistic Parameters | 230 |
82 Logistic Regression for CaseControl Studies | 235 |
83 Indicator Variables | 241 |
84 Estimation of Logistic Parameters | 244 |
85 Discussion of Logistic Models | 250 |
86 Application of Logistic Regression | 254 |
87 Further Topics in Logistic Regression | 263 |
88 Matched Analysis | 269 |
89 Confounder Score | 275 |
810 Loglinear Models | 280 |
Epilogue | 291 |
Appendices | 293 |
Cumulative Normal Frequency Distribution | 315 |
Largest and Smallest Detectable Relative Risks | 319 |
Sample Size for Group Sequential CaseControl Studies | 324 |
References | 325 |
| 344 | |
Otras ediciones - Ver todas
Case-control Studies: Design, Conduct, Analysis James J. Schlesselman,Paul D. Stolley Vista de fragmentos - 1982 |
Términos y frases comunes
American Journal analysis approach assessment association B₁ bias biased Biometrics bladder cancer calculated CASE-CONTROL SAMPLE case-control study causal chi-square test cigarette smoking cigarettes per day coefficient cohort study compared confidence interval confidence limits Cornfield corresponding denote diagnosis endometrial cancer Epidemiology equation estrogens etiologic fraction example exposure rate frequency Gart given Haenszel hospital incidence rate increase interaction interview investigation Journal of Epidemiology log odds logistic model logistic parameters logistic regression loglinear model lung cancer Mantel Mantel-Haenszel estimate Miettinen multiple myocardial infarction n₁ null hypothesis odds of disease odds of exposure odds ratio oral contraceptive p-value p₁ p₂ pairs patients potential pregnancy px/qx relative odds relative risk result risk factors risk of disease Schlesselman selected specific Statistical strata stratified study disease study exposure subgroups target population tests of significance tion two-sided unexposed individuals unmatched values variance women x₁