A handbook of statistical analysis for use in the pharmaceutical industry. It covers areas such as: bioavailability, repeated-measures designs, dose-response, population models, multicenter trials, handling dropouts, survival analysis, and, robust data analysis.

Analyses the data in health sciences and policy by introducing meta-analysis strategies while reviewing commonly used techniques. This text provides various chapters that build on principles, develop methodologies to solve statistical problems, and present concrete applications used by experienced medical practitioners and health policymakers.

This work provides descriptions, explanations and examples of the Bayesian approach to statistics, demonstrating the utility of Bayesian methods for analyzing real-world problems in the health sciences. The work considers the individual components of Bayesian analysis. student price, available on request from Marcel Dekker, Inc.