Bayesian Adaptive Methods for Clinical Trials
Scott M. Berry, Bradley P. Carlin, J. Jack Lee and Peter MullerEditorial: CRC Press Fecha de publicación: 22/07/2010 Páginas: 323
Formato: Hardback 235 x 156 mm
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.
• Chapman & Hall/CRC Biostatistics Series
Statistics for the Biological Sciences
Statistical Theory & Methods