Comparison of Additive and Multiplicative Bayesian Models for Longitudinal Count Data with Overdispersion Parameters: A Simulation Study

DOI10.1080/03610918.2013.781629zbMath1328.62157OpenAlexW1965922047MaRDI QIDQ5252842

Geert Molenberghs, Mehreteab Aregay, Ziv Shkedy

Publication date: 3 June 2015

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/1942/17793

zbMATH Keywords

overdispersionadditive modelmultiplicative modeldeviance information criteria

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items

Hierarchical models with normal and conjugate random effects : a review ⋮ Bayesian model selection for longitudinal count data

Uses Software

• R2jags

Cites Work

• 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
• Inference from iterative simulation using multiple sequences
• A hierarchical Bayesian approach for the analysis of longitudinal count data with overdispersion: a simulation study
• A Biometrics Invited Paper with Discussion: The Natural Variability of Vital Rates and Associated Statistics
• Bayesian Measures of Model Complexity and Fit
• Negative binomial loglinear mixed models
• Parameterization and Bayesian Modeling
• Linear mixed models for longitudinal data
• Bayesian model assessment using pivotal quantities