Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials
Language: English
Published by CRC Press, 2020
- Softcover
- New
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- Title
- Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials
- Author
- Toshiro Tango
- Publisher
- CRC Press
- Publication year
- 2020
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0367736381
- ISBN 13
- 9780367736385
- Series
- Book 84 of 155: Chapman & Hall/CRC Biostatistics
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
"Synopsis" may belong to another edition of this title.
About the Author
Toshiro Tango is the Director of Center for Medical Statistics, Tokyo. His research interests include various aspects of biostatistics including design and analysis of clinical trials and spatial epidemiology. He has served as associate editor for several journals including Biometrics and Statistics in Medicine, and is the author of Statistical Methods for Disease Clustering.
"About the title" may belong to another edition of this title.
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