Separating Between- and Within-Cluster Covariate Effects by Using Conditional and Partitioning Methods
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Publication:3442942
DOI10.1111/J.1467-9868.2006.00570.XzbMath1110.62093OpenAlexW2006710028MaRDI QIDQ3442942
Charles E. McCulloch, John M. Neuhaus
Publication date: 24 May 2007
Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1467-9868.2006.00570.x
Point estimation (62F10) Generalized linear models (logistic models) (62J12) Sufficient statistics and fields (62B05)
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Uses Software
Cites Work
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- Marginal Analyses of Clustered Data When Cluster Size Is Informative
- Misspecified maximum likelihood estimates and generalised linear mixed models
- Within-cluster resampling
- Generalized Linear Models
- Between- and Within-Cluster Covariate Effects in the Analysis of Clustered Data
- A Note on the Use of Marginal Likelihood and Conditional Likelihood in Analyzing Clustered Data
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