Fast two-stage estimator for clustered count data with overdispersion

DOI10.1080/00949655.2019.1630411OpenAlexW2952261315WikidataQ127633006 ScholiaQ127633006MaRDI QIDQ5107481

Pavlos Mamouris, Bert Vaes, Geert Molenberghs, Alvaro Jóse Flórez, Geert Verbeke, Michael G. Kenward

Publication date: 27 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/1942/29133

zbMATH Keywords

random effectsPoisson modelgeneralized linear mixed modelhierarchical datanegative binomial model

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• R

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Random-Effects Models for Longitudinal Data
• Pseudo-likelihood methodology for partitioned large and complex samples
• An extended random-effects approach to modeling repeated, overdispersed count data
• A family of generalized linear models for repeated measures with normal and conjugate random effects
• Models for discrete longitudinal data.
• Fully conditional specification in multivariate imputation
• Negative binomial and mixed poisson regression
• Clusters with random size: maximum likelihood versus weighted estimation
• Multiple Imputation and its Application
• Approximate Inference in Generalized Linear Mixed Models
• Regression Analysis of Count Data
• Fast, closed-form, and efficient estimators for hierarchical models with AR(1) covariance and unequal cluster sizes
• Pairwise Fitting of Mixed Models for the Joint Modeling of Multivariate Longitudinal Profiles
• Negative binomial loglinear mixed models
• High Dimensional Multivariate Mixed Models for Binary Questionnaire Data
• Linear mixed models for longitudinal data
• A Tutorial on the Practical Use and Implication of Complete Sufficient Statistics

This page was built for publication: Fast two-stage estimator for clustered count data with overdispersion