Chapter 12. Random Effects: Generalized Linear Mixed Models for Categorical Responses
Published Online: 26 MAR 2003
DOI: 10.1002/0471249688.ch12
Copyright © 2002 John Wiley & Sons, Inc.
Book Title
Categorical Data Analysis, Second Edition
Additional Information
How to Cite
Agresti, A. (2003) Random Effects: Generalized Linear Mixed Models for Categorical Responses, in Categorical Data Analysis, Second Edition, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471249688.ch12
Publication History
- Published Online: 26 MAR 2003
- Published Print: 3 JUL 2002
Book Series:
ISBN Information
Print ISBN: 9780471360933
Online ISBN: 9780471249689
- Summary
- Chapter
Keywords:
- repeated measures;
- clustered data;
- subject-specific;
- random effects;
- mixed models;
- logistic-normal model;
- overdispersion;
- Gauss–Hermite quadrature
Summary
Chapter 12 introduces random effects in generalized linear mixed models as an alternative way of handling clustered data. For binary responses, it introduces the logistic-normal model. It presents several examples of random effects models for binary data, and then shows extensions for random effects models for multinomial data and for multivariate binary data. The chapter finishes with details about model-fitting, inference, and prediction.