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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, 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. A Personal Postscript. _