Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials by Toshiro Tango
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-
R for Health Technology Assessment
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Bayesian Models in Health Technology Assessment
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Statistical Methods for Immunogenicity Assessment
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Randomization, Masking, and Allocation Concealment
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Exposure-Response Modeling
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Mixture Modelling for Medical and Health Sciences
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Data Analysis with Competing Risks and Intermediate States
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Statistics In the Pharmaceutical Industry
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Design and Analysis of Bioavailability and Bioequivalence Studies
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Mixed Effects Models for the Population Approach
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Multiple Testing Problems in Pharmaceutical Statistics
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Machine Learning for Microbiome Statistics
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Master Protocol Clinical Trials for Evidence Generation
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Does This Treatment Cause That Outcome?
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Comparative Effectiveness and Personalized Medicine Research Using Real-World Data
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Age-Period-Cohort Models
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Statistical Methods for Survival Trial Design
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Every Coin Has Two Sides
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Group Sequential and Adaptive Methods for Clinical Trials
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Empirical Likelihood Method in Survival Analysis
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Design & Analysis of Clinical Trials for Economic Evaluation & Reimbursement
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Meta-Analysis in Medicine and Health Policy
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Model-Assisted Bayesian Designs for Dose Finding and Optimization
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Statistical Methods in Drug Combination Studies
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Design and Analysis of Clinical Trials for Predictive Medicine
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Frailty Models in Survival Analysis
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Bayesian Methods in Health Economics
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Survival Analysis in Medicine and Genetics
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Clinical Trial Methodology
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Applied Surrogate Endpoint Evaluation Methods with SAS and R
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Design and Analysis of Animal Studies in Pharmaceutical Development
"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 dataThis 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
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.
| SKU | Unavailable |
| ISBN 13 | 9780367736385 |
| ISBN 10 | 0367736381 |
| Title | Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials |
| Author | Toshiro Tango |
| Series | Chapman And Hall Crc Biostatistics Series |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Routledge |
| Year published | 2020-12-18 |
| Number of pages | 360 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |