Multivariate Generalized Linear Mixed Models Using R

Author:   Damon Mark Berridge ,  Robert Crouchley
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032922805


Pages:   304
Publication Date:   14 October 2024
Format:   Paperback
Availability:   In Print   Availability explained
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Multivariate Generalized Linear Mixed Models Using R


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Author:   Damon Mark Berridge ,  Robert Crouchley
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.562kg
ISBN:  

9781032922805


ISBN 10:   103292280
Pages:   304
Publication Date:   14 October 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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I think this is a very well organised and written book and therefore I highly recommend it not only to professionals and students but also to applied researchers from many research areas such as education, psychology and economics working on complex and large data sets. —Sebnem Er, Journal of Applied Statistics, 2012


Author Information

Damon M. Berridge is a senior lecturer in the Department of Mathematics and Statistics at Lancaster University. Dr. Berridge has nearly 20 years of experience as a statistical consultant. His research focuses on the modeling of binary and ordinal recurrent events through random effects models, with application in medical and social statistics. Robert Crouchley is a professor of applied statistics and director of the Centre for e-Science at Lancaster University. His research interests involve the development of statistical methods and software for causal inference in nonexperimental data. These methods include models for errors in variables, missing data, heterogeneity, state dependence, nonstationarity, event history data, and selection effects.

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