Repeated measures design with generalized linear mixed models for randomized controlled trials / Toshiro Tango, Center for Medical Statistics, Minato-ku Tokyo, Japan
Chapter 1 Introduction -- chapter 2 Naive analysis of animal experiment data -- chapter 3 Analysis of variance models -- chapter 4 From ANOVA models to mixed-effects repeated measures models -- chapter 5 Illustration of the mixed-effects models -- chapter 6 Likelihood-based ignorable analysis for missing data -- chapter 7 Mixed-effects normal linear regression models -- chapter 8 Mixed-effects logistic regression models -- chapter 9 Mixed-effects Poisson regression models -- chapter 10 Bayesian approach to generalized linear mixed models -- chapter 11 Latent profile models: Classification of individual response profiles -- chapter 12 Applications to other trial designs
Summary
"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."--Provided by publisher
Bibliography
Includes bibliographical references (pages 349-356) and index
