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Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics

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Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials (Hardcover) Loot Price: R3,256
Discovery Miles 32 560
Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials (Hardcover): Mark Chang, John Balser,...

Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials (Hardcover)

Mark Chang, John Balser, Jim Roach, Robin Bliss

Series: Chapman & Hall/CRC Biostatistics Series

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Loot Price R3,256 Discovery Miles 32 560 | Repayment Terms: R305 pm x 12*

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"This is truly an outstanding book. [It] brings together all of the latest research in clinical trials methodology and how it can be applied to drug development.... Chang et al provide applications to industry-supported trials. This will allow statisticians in the industry community to take these methods seriously." Jay Herson, Johns Hopkins University The pharmaceutical industry's approach to drug discovery and development has rapidly transformed in the last decade from the more traditional Research and Development (R & D) approach to a more innovative approach in which strategies are employed to compress and optimize the clinical development plan and associated timelines. However, these strategies are generally being considered on an individual trial basis and not as part of a fully integrated overall development program. Such optimization at the trial level is somewhat near-sighted and does not ensure cost, time, or development efficiency of the overall program. This book seeks to address this imbalance by establishing a statistical framework for overall/global clinical development optimization and providing tactics and techniques to support such optimization, including clinical trial simulations. Provides a statistical framework for achieve global optimization in each phase of the drug development process. Describes specific techniques to support optimization including adaptive designs, precision medicine, survival-endpoints, dose finding and multiple testing. Gives practical approaches to handling missing data in clinical trials using SAS. Looks at key controversial issues from both a clinical and statistical perspective. Presents a generous number of case studies from multiple therapeutic areas that help motivate and illustrate the statistical methods introduced in the book. Puts great emphasis on software implementation of the statistical methods with multiple examples of software code (both SAS and R). It is important for statisticians to possess a deep knowledge of the drug development process beyond statistical considerations. For these reasons, this book incorporates both statistical and "clinical/medical" perspectives.

General

Imprint: Crc Press
Country of origin: United States
Series: Chapman & Hall/CRC Biostatistics Series
Release date: March 2019
First published: 2019
Authors: Mark Chang • John Balser • Jim Roach • Robin Bliss
Dimensions: 234 x 156 x 22mm (L x W x T)
Format: Hardcover
Pages: 362
ISBN-13: 978-0-8153-7944-7
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Biology, life sciences > General
Books > Medicine > General issues > Medical equipment & techniques > Medical research
Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > Pharmaceutical technology
LSN: 0-8153-7944-7
Barcode: 9780815379447

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