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...