A state-of-the-art handbook of statistical analysis for use in the pharmaceutical industry. Areas covered in this reference/text include: bioavailability, repeated-measures designs, dose-response, population models, multicenter trials, handling dropouts, survival analysis, robust data analysis, cate
Preface Contributors. 1. Basic Principles in Designing and Analyzing Clinical Studies. 2. Bioavailability: Designs and Analysis. 3. Analysis of Repeated-Measures Designs. 4. Dose-Response: Relating Doses and Plasma Levels to Efficacy and Adverse Experiences. 5. Population Models. 6. Linear and Nonlinear Regression. 7. Design and Analysis of Multicenter Trials. 8. Crossover Versus Parallel Designs. 9. Handling Dropouts and Related Issues. 10. Group Sequential Methods in Clinical Trials. 11. Survival Analysis. 12. Robust Data Analysis. 13. Categorical Data Analysis. 14. Causality Assessment for Adverse Drug Reactions. 15. Bayesian Metaanalysis. 16. Inferential Problems in Postmarketing Surveillance. Index
