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Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at http: //CRAN.R-project.org

After giving examples of multiplicity problems, the book covers general concepts and basic multiple comparisons procedures, including the Bonferroni method and Simes' test. It then shows how to perform...

This book describes recently developed methods for accurate and efficient computation of the required probability values for problems with two or more variables. It includes examples that illustrate the probability computations for a variety of applications.

This book explains how to solve the most important problems in multiple testing encountered in drug discovery, pre-clinical, and clinical trial applications. It presents relevant statistical methodology; illustrates the methodology using real-life examples from drug discovery experiments, pre-clinical studies, and clinical trials; and provides software code (SAS, S-Plus, R) for solving the problems. It describes statistical strategies for handling multiplicity issues in the pharmaceutical industry and covers basic/traditional multiple testing procedures as well as novel approaches to...