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With a focus on estimating the success probability of an experiment, this book provides an introduction to the various statistical techniques involved in medical research and drug development-addressing the theoretical and practical aspects of the topic. It features coverage of reproducibility probability estimation and sample size estimation and adaptation; includes success probability estimation for some widely used statistical tests such as nonparametric and parametric models; and focuses on experimental planning using phase II results and data for planning phase III trials.
DANIELE DE MARTINI, PhD, is Assistant Professor in the Department of Statistics and Quantitative Methods at the University of Milano-Bicocca in Italy. He is also a member of the American Statistical Association, Society for Clinical Trials, and Italian Statistical Society.
Table of Contents
I.1 Overview of clinical trials xxii
I.2 Success rates of clinical trials xxiv
I.3 Success probability xxv
I.4 Starting from practice xxvii
PART I SUCCESS PROBABILITY ESTIMATION IN PLANNING AND ANALYZING CLINICAL TRIALS