Statistics in Epidemiology: Methods, Techniques, and Applications.

Preface Introduction Types of Epidemiologic Study Designs Prospective vs. Retrospective Study Designs. Cross-Sectional vs. Longitudinal Studies. A Note on Terminology. The Measurement of Effect. Design-Based vs. Model-Based Inference. Prospective (Cohort) Studies Measures of Risk: Risk Difference. Risk Ratio. Odds Ratio. A Comparison of Taylor Series and Test-Based Methods. Risk Ratio vs. Odds Ratio. Retrospective (Case-Control) Studies Measures of Risk: Risk Ratio. Odds Ratio. Cross-Sectional Studies Measures of Prevalence. Point and Interval Estimation. Stratified Analysis Confounding and Interaction. Adjustment for Confounding in a 2 x 2 Table. Measures of Risk. Measures of Prevalence. Matching Matched-Pair Analysis. Matched-Set Analysis Involving Multiple Controls Per Case. Matched-Set Analysis Using Varying Number of Controls Per Case. Efficacy of Matching. Matched Follow-Up Studies. Multivariate Models Linear Models. Binary Logistic Regression. Proportional Hazards Regression. Poisson Regression. Prospective (Cohort) Studies with Person-Time Data Measures of Risk: Incidence Rate Difference. Incidence Rate Ratio. Stratified Analysis with Person-Time Data Measures of Risk. Other Summary Effect Measures. Attributable Risk Percent Attributable Risk. Population Attributable Risk. Confidence Intervals. Adjustment for Confounding. Appendices Pearson Chi-Square vs. Mantel-Haenszel Chi-Square. Variance of a Function of a Random Variable. The Odds Ratio. More Confidence Intervals for the Risk Ratio. Maximum Likelihood Estimation. Variance of the Conditional Maximum Likelihood Estimator of the Odds Ratio and the Log Odds Ratio. Variance of the Maximum Likelihood Estimator of the Common Odds Ratio in a Stratified Analysis. Some Important Probability Distributions. Randomized and Mid-p Tests and Mid-p Confidence Intervals. Mantel-Haenszel Chi-Square Statistic for Stratified 2 x 2 Tables. Analysis of a 2 x l Table. Maximum Likelihood Estimation for the Logistic Regression Model. Logistic Regression Model for a Case-Control Design. Odds Ratio as an Approximation to a Risk Ratio. Exercises References Related Bibliography Indexes Author Index. Subject Index. Data Index.