ABSTRACT

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.

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

 

chapter 1|16 pages

Introduction

chapter 2|8 pages

Naive analysis of animal experiment data

chapter 3|28 pages

Analysis of variance models

chapter 5|16 pages

Illustration of the mixed-effects models

chapter 8|48 pages

Mixed-effects logistic regression models

chapter 9|48 pages

Mixed-effects Poisson regression models

chapter 12|12 pages

Applications to other trial designs