This book provides a concise, unified presentation of adaptive design theories, uses SAS and R for the design and simulation of adaptive trials, and illustrates how to master different adaptive designs through real-world examples. It emphasizes the relationships among different methods; presents current regulatory views; discusses the challenges in planning, executing, analyzing, and reporting adaptive designs; and features Bayesian decision theory to optimize adaptive designs and programs. The author also explores controversial issues surrounding statistical theories as well as fruitful avenues for future research and applications of adaptive designs.
• Chapman & Hall/CRC Biostatistics Series
Statistics for the Biological Sciences
Clinical Implementation
Reference
Professional

One of the first books on the topic, Adaptive Design Methods Clinical Trials presents the principles and methodologies in adaptive design and analysis that pertain to adaptations made to trial or statistical procedures based on accrued data of ongoing clinical trials. The book also offers a well-balanced summary of current regulatory perspectives, recently developed statistical methods, and practical guidelines for choosing an optimal design. Providing a broad range of adaptive design methods that use both analytical and simulation approaches, this resource fills the need for a unified, comprehensive, and updated book in the clinical research and development of adaptive design and analysis.
• Chapman & Hall/CRC Biostatistics Series
Statistics for the Biological Sciences
Clinical Implementation
Reference
Professional