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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.
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
Model-Assisted Bayesian Designs...
Methods and Applications
Hardback
$183
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