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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…mehr

Produktbeschreibung
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.


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Autorenporträt
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.