Bayesian Designs for Phase I-II Clinical Trials

Nonfiction, Health & Well Being, Medical, Reference, Biostatistics, Medical Science, Pharmacology, Science & Nature, Mathematics, Statistics
Cover of the book Bayesian Designs for Phase I-II Clinical Trials by Ying Yuan, Hoang Q. Nguyen, Peter F. Thall, CRC Press
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Author: Ying Yuan, Hoang Q. Nguyen, Peter F. Thall ISBN: 9781315354224
Publisher: CRC Press Publication: December 19, 2017
Imprint: Chapman and Hall/CRC Language: English
Author: Ying Yuan, Hoang Q. Nguyen, Peter F. Thall
ISBN: 9781315354224
Publisher: CRC Press
Publication: December 19, 2017
Imprint: Chapman and Hall/CRC
Language: English

Reliably optimizing a new treatment in humans is a critical first step in clinical evaluation since choosing a suboptimal dose or schedule may lead to failure in later trials. At the same time, if promising preclinical results do not translate into a real treatment advance, it is important to determine this quickly and terminate the clinical evaluation process to avoid wasting resources.

Bayesian Designs for Phase I–II Clinical Trials describes how phase I–II designs can serve as a bridge or protective barrier between preclinical studies and large confirmatory clinical trials. It illustrates many of the severe drawbacks with conventional methods used for early-phase clinical trials and presents numerous Bayesian designs for human clinical trials of new experimental treatment regimes.

Written by research leaders from the University of Texas MD Anderson Cancer Center, this book shows how Bayesian designs for early-phase clinical trials can explore, refine, and optimize new experimental treatments. It emphasizes the importance of basing decisions on both efficacy and toxicity.

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Reliably optimizing a new treatment in humans is a critical first step in clinical evaluation since choosing a suboptimal dose or schedule may lead to failure in later trials. At the same time, if promising preclinical results do not translate into a real treatment advance, it is important to determine this quickly and terminate the clinical evaluation process to avoid wasting resources.

Bayesian Designs for Phase I–II Clinical Trials describes how phase I–II designs can serve as a bridge or protective barrier between preclinical studies and large confirmatory clinical trials. It illustrates many of the severe drawbacks with conventional methods used for early-phase clinical trials and presents numerous Bayesian designs for human clinical trials of new experimental treatment regimes.

Written by research leaders from the University of Texas MD Anderson Cancer Center, this book shows how Bayesian designs for early-phase clinical trials can explore, refine, and optimize new experimental treatments. It emphasizes the importance of basing decisions on both efficacy and toxicity.

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