Mark Chang is vice president of biometrics at AMAG Pharmaceuticals and an adjunct professor at Boston University. Dr. Chang is an elected fellow of the American Statistical Association and a co-founder of the International Society for Biopharmaceutical Statistics. He serves on the editorial boards of statistical journals and has published eight books, including Principles of Scientific Methods, Paradoxes in Scientific Inference, Modern Issues and Methods in Biostatistics, Monte Carlo Simulation for the Pharmaceutical Industry, and Adaptive Design Theory and Implementation Using SAS and R, Second Edition.

• Introduction. Classical Design. Two-Stage Adaptive Confirmatory Design Method. K-Stage Adaptive Confirmatory Design Methods. Sample-Size Reestimation Design. Special Two-Stage Group Sequential Trials. Pick-the-Winners Design. The Add-Arms Design. Biomarker-Adaptive Design. Response-Adaptive Randomization. Adaptive Dose-Escalation Trial. Deciding Which Adaptive Design to Use. Monitoring Trial and Making Adaptations. Data Analyses of Adaptive Trials. Planning and Execution. Appendices. Bibliography. Index.

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