Scott M. Berry, Bradley P. Carlin, J. Jack Lee, Peter Muller

Bayesian Adaptive Methods for Clinical Trials (eBook, PDF)

• Format: PDF

Produktbeschreibung

Written by leading pioneers of Bayesian clinical trial designs, this book explores the growing role of Bayesian thinking in clinical trial analysis. Covering Phase I, II, and III clinical trials, it establishes the basic principles before extending them to specific phases and endpoints. The authors also discuss special topics that span different phases of the process, including the use of historical data, equivalence studies, multiplicity and multiple comparisons, and subgroup analysis. They provide many detailed examples drawing on real data sets. Along with other materials, the R and WinBUGS codes used throughout are available on supporting websites.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 323
• Erscheinungstermin: 19. Juli 2010
• Englisch
• ISBN-13: 9781439825518
• Artikelnr.: 42831231

Autorenporträt

Scott M. Berry is the President and Senior Statistical Scientist at Berry Consultants, a statistical consulting group specializing in adaptive clinical trial design in pharmaceutical and medical device research and development.

Bradley P. Carlin is Mayo Professor in Public Health and Head of the Division of Biostatistics at the University of Minnesota.

J. Jack Lee is Professor of Biostatistics at the University of Texas M.D. Anderson Cancer Center.

Peter Muller is a Robert R. Herring Distinguished Professor in Clinical Research in the Department of Biostatistics at the University of Texas M.D. Anderson Cancer Center.