Statistics in Medicine

Robert H. Riffenburgh, PhD, advises on experimental design, statistical analysis, and scientific integrity of the approximately 400 concurrent studies at the Naval Medical Center San Diego. A fellow of the American Statistical Association and Royal Statistical Society, he is former Professor and Head, Statistics Department, University of Connecticut, and has been faculty at Virginia Tech., University of Hawaii, University of Maryland, University of California San Diego, San Diego State University, and University of Leiden (The Netherlands). He has been president of his own consulting firm and performed and directed operations research for the U.S. government and for NATO. He has consulted on biostatistics throughout his career, has received numerous awards, and has published more than 140 professional articles.

1. Planning Studies: From Design to Publication 2. Planning Analysis: What Do I Do with my Data? 3. Probability and Relative Frequency Distributions 4. Distributions 5. Descriptive Statistics 6. Finding Probabilities of Error 7. Confidence Intervals 8. Hypothesis Testing: Concept and Practice 9. Tests on Categorical Data 10. Risks, Odds, and ROC Curves 11. Tests on Ranked Data 12. Tests on Means of Continuous Data 13. Multi-Factor ANOVA and ANCOVA 14. Tests on Variability and Distributions 15. Managing Results of Analysis 16. Equivalence Testing 17. Bayesian Statistics 18. Sample Size Estimation and Meta-Analysis 19. Modeling Concepts and Methods 20. Clinical Decisions Based on Models 21. Regression and Correlation 22. Multiple and Curvilinear Regression 23. Survival, Logistic Regression, and Cox Regression 24. Sequential Analysis and Time Series 25. Epidemiology 26. Measuring Association and Agreement 27. Questionnaires and Surveys 28. Methods You Might Meet, But Not Every Day References and Data Sources Tables of Probability Distributions