Statistical models in epidemiology /David Clayton, Michael Hills.

Includes bibliographies and index.

Cover; Title Page; Copyright Page; Preface; Contents; I Probability models and likelihood; 1 Probability models; 2 Conditional probability models; 3 Likelihood; 4 Consecutive follow-up intervals; 5 Rates; 6 Time; 7 Competing risks and selection; 8 The Gaussian probability model; 9 Approximate likelihoods; 10 Likelihood, probability, and confidence; 11 Null hypotheses and p-values; 12 Small studies; 13 Likelihoods for the rate ratio; 14 Confounding and standardization; 15 Comparison of rates within strata; 16 Case-control studies; 17 Likelihoods for the odds ratio.

18 Comparison of odds within strata19 Individually matched case-control studies; 20 Tests for trend; 21 The size of investigations; II Regression models; 22 Introduction to regression models; 23 Poisson and logistic regression; 24 Testing hypotheses; 25 Models for dose-response; 26 More about interaction; 27 Choice and interpretation of models; 28 Additivity and synergism; 29 Conditional logistic regression; 30 Cox's regression analysis; 31 Time-varying explanatory variables; 32 Three examples; 33 Nested case-control studies; 34 Gaussian regression models; 35 Postscript; III Appendices.

A Exponentials and logarithmsB Some basic calculus; C Approximate profile likelihoods; D Table of the chi-squared distribution; Index; Footnotes.

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