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

Toshiro Tango

February 16, 2017 by Chapman and Hall/CRC
Reference - 360 Pages
ISBN 9781498747899 - CAT# K27068
Series: Chapman & Hall/CRC Biostatistics Series

USD$89.95

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Features

Highlights a new S:T repeated measures design as a practical framework of RCT design

Presents in-depth treatments of mixed models useful for the practical design of randomized controlled trials depending on the study purpose

Illustrates most analyses with real data using the SAS procedures MIXED and GLIMMIX with source programs so that the results in the book are reproducible

Provides detailed steps for determination of sample size including Monte Carlo simulations

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.

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