Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials

This book provides the application of generalized linear mixed-effects models and its related models in the statistical design and analysis of repeated measures adopted in randomized controlled trials. With increasing concerns about intra-patient variability of treatment effects, the traditional ANCOVA-type methods can no longer cope with these variability and the need for sophisticated methods for estimating treatment effects by taking intra-patient variability into account is immediate. The generalized linear mixedeffects model is one of such methods. The book emphasizes practical, rather than theoretical, aspects of mixed-effects models and interpretation of results.

Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials is the first book focused on the application of generalized linear mixed models and its related models in the statistical design and analysis of repeated measures from randomized controlled trials. The author introduces a new repeated measures design called S:T design combined with mixed models as a practical and useful framework of parallel group RCT design because of easy handling of missing data and sample size reduction. The book emphasizes practical, rather than theoretical, aspects of statistical analyses and the interpretation of results. It includes chapters in which the author describes some old-fashioned analysis designs that have been in the literature and compares the results with those obtained from the corresponding mixed models.

The book will be of interest to biostatisticians, researchers, and graduate students in the medical and health sciences who are involved in clinical trials.

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Data sets and programs used in the book are available at http://www.medstat.jp/downloadrepeatedcrc.html