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This handbook provides a comprehensive and unified presentation of the principles and latest statistical methodologies used when modifying trial procedures based on accrued data of ongoing clinical trials. The book also gives a well-balanced summary of current regulatory perspectives and presents real-world examples of a range of adaptive designs. Leading clinical researchers in the pharmaceutical industry, academia, and regulatory agencies examine issues commonly encountered when applying adaptive design methods in clinical trials. They discuss the importance of sample size…mehr

Produktbeschreibung
This handbook provides a comprehensive and unified presentation of the principles and latest statistical methodologies used when modifying trial procedures based on accrued data of ongoing clinical trials. The book also gives a well-balanced summary of current regulatory perspectives and presents real-world examples of a range of adaptive designs. Leading clinical researchers in the pharmaceutical industry, academia, and regulatory agencies examine issues commonly encountered when applying adaptive design methods in clinical trials. They discuss the importance of sample size estimation/allocation, justification, and adjustment when implementing a complicated adaptive design.

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Autorenporträt
Annpey Pong is a manager in the Department of Biostatistics and Research Decision Sciences at Merck Research Laboratories. Dr. Pong is also the associate editor of the Journal of Biopharmaceutical Statistics. She earned her Ph.D. in statistics from Temple University. Shein-Chung Chow is a professor in the Department of Biostatistics and Bioinformatics at Duke University School of Medicine. Dr. Chow is also a professor of clinical sciences at Duke-National University of Singapore Graduate Medical School and the editor of the Journal of Biopharmaceutical Statistics. He earned his Ph.D. in statistics from the University of Wisconsin-Madison.