1. Introduction to biostatistics -- 2. Biostatistical design of medical studies -- 3. Descriptive statistics -- 4. Statistical inference: Populations and samples -- 5. One- and two-sample inference -- 6. Counting data -- 7. Categorical data: Contingency tables -- 8. Nonparametric, distribution-free, and permutation models: Robust procedures -- 9. Association and prediction: Linear models with one predictor variable -- 10. Analysis of variance -- 11. Association and prediction: Multiple regression analysis and linear models with multiple predictor variables -- 12. Multiple comparisons -- 13. Discrimination and classification -- 14. Principal component analysis and factor analysis -- 15. Rates and proportions -- 16. Analysis of the time to an event: Survival analysis -- 17. Sample sizes for observational studies -- 18. Longitudinal data analysis -- 19. Randomized clinical trials -- 20. Personal postscript. THOMAS S. LUMLEY and GERALD VAN BELLE * Data sets, tables, additional examples, and solutions to selected problems will be housed on the web * Instructors will have the opportunity to submit their own problems and solutions to be added to the website (with proper citations) * Authors will comprehensively update all the material in the book, focusing on current techniques and applications * An additional appendix will mention current software packages, web sites, and important data sets that are available to students and practitioners.