Statistical Models for Epidemiology David CLAYTON and Michael HILLS Preface & Table of Contents Part I: Probability Models and Likelihoods 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 Likelhoods for the odds ratio 18 Comparison of odds within strata 19 Individually matched case-control studies 20 Tests for trend 21 The size of investigations Part 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 Part III: - Appendices & Index