Modeling proportions and marginal counts simultaneously for clustered multinomial data with random cluster sizes

DOI10.1080/02664763.2015.1089223OpenAlexW2279771923MaRDI QIDQ5138059

Guohua Yan, M. Tariqul Hasan, Renjun Ma

Publication date: 3 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2015.1089223

zbMATH Keywords

best linear unbiased predictorover-dispersionPoisson mixed modelsclustered categorical datadistribution-free random effects

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• R

Cites Work

• Beta-binomial/gamma-Poisson regression models for repeated counts with random parameters
• Model selection via multifold cross validation
• Estimation of covariate effects in generalized linear mixed models with informative cluster sizes
• Modeling the Dependence between Number of Trials and Success Probability in Beta‐Binomial–Poisson Mixture Distributions
• An EM algorithm for multivariate Poisson distribution and related models
• Comparison of hierarchical likelihood versus orthodox best linear unbiased predictor approaches for frailty models
• Clustered binary data with random cluster sizes
• Nested Generalized Linear Mixed Models: An Orthodox Best Linear Unbiased Predictor Approach
• On Models for Binomial Data with Random Numbers of Trials
• Hidden Markov Models for Time Series