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.

Foreword to the Second Edition, W. M. (Mike) O'FallonForeword to the First Edition, Vice Adm. Richard A. NelsonDatabasesI. A Study Course of Fundamentals1. Data, Notation, and Some Basic Terms2. Distributions3. Summary Statistics4. Confidence Intervals and Probability5. Hypothesis Testing: Concept and Practice6. Statistical Testing, Risks, and Odds in Medical Decisions7. Sample Size Required for a Study8. Statistical Prediction9. Epidemiology10. Reading Medical ArticlesAnswers to Chapter Exercises, Part III. A Reference Guide11. Using the Reference Guide12. Planning Medical Studies13. Finding Probabilities of Error14. Confidence Intervals15. Tests on Categorical Data16. Tests on Ranked Data17. Tests on Means of Continuous Data18. Multifactor Tests on Means of Continuous Data19. Tests on Variances of Continuous Data20. Tests on the Distribution Shape of Continuous Data21. Equivalence Testing22. Sample Size Required for a Study23. Modeling and Clinical Decisions24. Regression and Correlation Methods25. Survival and Time-Series Analysis26. Methods You Might Meet, But Not Every DayChapter SummariesReferences and Data SourcesTables of Probability DistributionsSymbol IndexSubject Index