Introduction to Bayesian Methods in Epidemiology Introduction Review of Statistical Methods in Epidemiology Preview of the Book Preview of the Appendices A Bayesian Perspective of Association between Risk Exposure and Disease Introduction Incidence and Prevalence for Mortality and Morbidity Association between Risk and Disease in Cohort Studies Retrospective Studies: Association between Risk and Disease in Case-Control Studies Cross-Sectional Studies Attributable Risk Bayesian Methods of Adjustment of Data Introduction The Direct Adjustment of Data Indirect Standardization Adjustment Stratification and Association between Disease and Risk Exposure Mantel-Haenszel Estimator of Association Matching to Adjust Data in Case-Control Studies Regression Methods for Adjustment Introduction Logistic Regression Linear Regression Models Weighted Regression Ordinal and Other Regression Models A Bayesian Approach to Life Tables Introduction The Basic Life Table Disease-Specific Life Tables Life Tables for Medical Studies Comparing Survival The Kaplan-Meier Test A Bayesian Approach to Survival Analysis Introduction Notation and Basic Table for Survival Kaplan-Meier Survival Curves Survival Analysis Screening for Disease Introduction Principals of Screening Evaluation of Screening Programs The HIP Study (Health Insurance Plan of Greater New York) Statistical Models for Epidemiology Introduction Review of Models for Epidemiology Categorical Regression Models Nonlinear Regression Models Repeated Measures Model Spatial Models for Epidemiology Appendix A: Introduction to Bayesian Statistics Appendix B: Introduction to WinBUGS Index Comments, Conclusions, Exercises, and References appear at the end of each chapter.
{{comment.content}}