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Author:   Toshiro Tango
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.453kg
ISBN:  

9780367736385

ISBN 10:   0367736381
Pages:   360
Publication Date:   18 December 2020
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Table of ContentsIntroduction Repeated measures design Generalized linear mixed models Model for the treatment effect at each scheduled visit Model for the average treatment effect Model for the treatment by linear time interaction Superiority and non-inferiority Naive analysis of animal experiment data Introduction Analysis plan I Analysis plan II each time point Analysis plan III - analysis of covariance at the last time point DiscussionAnalysis of variance models Introduction Analysis of variance model Change from baseline Split-plot designSelecting a good _t covariance structure using SAS Heterogeneous covariance ANCOVA-type modelsFrom ANOVA models to mixed-effects repeated measures models IntroductionShift to mixed-effects repeated measures models ANCOVA-type mixed-effects models Unbiased estimator for treatment effects Illustration of the mixed-effects models Introduction The Growth data Linear regression model Random intercept model Random intercept plus slope model Analysis using The Rat data Random intercept Random intercept plus slope Random intercept plus slope model with slopes varying over time Likelihood-based ignorable analysis for missing data IntroductionHandling of missing data Likelihood-based ignorable analysis Sensitivity analysis The Growth The Rat data MMRM vs. LOCF Mixed-effects normal linear regression models Example: The Beat the Blues data with 1:4 design Checking missing data mechanism via a graphical procedure Da

Reviews

""The main focus of this book is to introduce the generalized linear mixed-effects models with S:T repeated measures design, which provide a flexible and powerful tool to deal with longitudinal data with heterogeneity or variability among subject-specific responses and missing data. This book illustrates theoretical methodologies with a focus on the practicality with a wealth of real-life examples making it easy to understand the topics. It is well organized and contains SAS codes and outputs as useful references. In summary, this is an excellent book with a very good selection of examples. It is clearly written and is enjoyable to read."" ~Misoo C. Ellison, Merck & Co., Inc., Kenilworth, NJ

The main focus of this book is to introduce the generalized linear mixed-effects models with S: T repeated measures design, which provide a flexible and powerful tool to deal with longitudinal data with heterogeneity or variability among subject-specific responses and missing data. This book illustrates theoretical methodologies with a focus on the practicality with a wealth of real-life examples making it easy to understand the topics. It is well organized and contains SAS codes and outputs as useful references. In summary, this is an excellent book with a very good selection of examples. It is clearly written and is enjoyable to read. Misoo C. Ellison, Merck & Co., Inc., Kenilworth, NJ

Author Information

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.

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