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

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...
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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 than theoretical, aspects of mixed-effects models and interpretation of results.