This book explains important ideas behind medical uses of statistics without burdening the reader with the technical details of mathematical manipulations. It is based on conversations with John Bailar and Frederick Mosteller of the Department of Biostatistics of the Harvard School of Public Health.
Section I: Broad Concepts and Analytic Techniques 1. Statistical Concepts Fundamental to Investigations 2. Some Uses of Statistical Thinking 3. Use of Statistical Analysis in the New England Journal of Medicine Section II: Design 4. Designs for Experiments—Parallel Comparisons of Treatment 5. Crossover and Self-Controlled Designs in Clinical Research 6. Studies without Internal Controls 7. The Series of Consecutive Cases as a Device for Assessing Outcomes of Interventions 8. A Classification for Biomedical Research Reports Section III: Analysis 9. Decision Analysis 10. P Values 11. Simple Linear Regression in Medical Research 12. Comparing the Means of Several Groups 13. Analyzing Data from Ordered Categories 14. Statistical Analysis of Survival Data 15. Contingency Tables in Medical Studies Section IV: Communicating Results 16. Guidelines for Statistical Reporting in Articles of Medical Journals 17. Reporting on Methods in Clinical Trials 18. Statistical Consultation in Clinical Research: A Two-Way Street 19. The Importance of Beta, the Type II Error, and Sample Size in the Design and Interpretation of the Randomized Controlled Trial: Survey of Two Sets of “Negative” Trials 20. Writing about Numbers Section V: Reviews and Meta-Studies 21. Medical Technology Assessment 22. Combining Results from Independent Investigations: Meta-Analysis in Clinical Research 23. Meta-Analyses of Randomized Control Trials: An Update of the Quality and Methodology