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Bayesian Designs for Phase I-II Clinical Trials (Hardcover) Loot Price: R3,343
Discovery Miles 33 430
Bayesian Designs for Phase I-II Clinical Trials (Hardcover): Ying Yuan, Hoang Q. Nguyen, Peter F. Thall

Bayesian Designs for Phase I-II Clinical Trials (Hardcover)

Ying Yuan, Hoang Q. Nguyen, Peter F. Thall

Series: Chapman & Hall/CRC Biostatistics Series

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Loot Price R3,343 Discovery Miles 33 430 | Repayment Terms: R313 pm x 12*

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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.

General

Imprint: Productivity Press
Country of origin: United States
Series: Chapman & Hall/CRC Biostatistics Series
Release date: June 2016
First published: 2016
Authors: Ying Yuan • Hoang Q. Nguyen • Peter F. Thall
Dimensions: 234 x 156 x 23mm (L x W x T)
Format: Hardcover
Pages: 310
ISBN-13: 978-1-4987-0955-2
Categories: Books > Medicine > General issues > Medical equipment & techniques > Medical research
Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
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LSN: 1-4987-0955-9
Barcode: 9781498709552

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