A combined overdispersed and marginalized multilevel model
From MaRDI portal
Publication:434987
DOI10.1016/j.csda.2011.11.021zbMath1242.62118OpenAlexW2054109665MaRDI QIDQ434987
Samuel Iddi, Geert Molenberghs
Publication date: 16 July 2012
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/1942/13622
Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Generalized linear models (logistic models) (62J12)
Related Items (11)
A hierarchical Bayesian approach for the analysis of longitudinal count data with overdispersion: a simulation study ⋮ Marginalized zero-inflated generalized Poisson regression ⋮ Effect of covariate misspecifications in the marginalized zero-inflated Poisson model ⋮ A marginalized multilevel model for bivariate longitudinal binary data ⋮ Addressing overdispersion and zero-inflation for clustered count data via new multilevel heterogenous hurdle models ⋮ First-order marginalised transition random effects models with probit link function ⋮ A Marginalized Combined Gamma Frailty and Normal Random-effects Model for Repeated, Overdispersed, Time-to-event Outcomes ⋮ Hierarchical models with normal and conjugate random effects : a review ⋮ A taxonomy of mixing and outcome distributions based on conjugacy and bridging ⋮ Marginalized random-effects models for clustered binomial data through innovative link functions ⋮ A joint model for longitudinal continuous and time-to-event outcomes with direct marginal interpretation
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- Matching conditional and marginal shapes in binary random intercept models using a bridge distribution function
- Inference in HIV dynamics models via hierarchical likelihood
- Hierarchical multilinear models for multiway data
- 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
- Overdispersion: Models and estimation.
- Models for discrete longitudinal data.
- Models for Longitudinal Data: A Generalized Estimating Equation Approach
- Marginal Modeling of Correlated Ordinal Data Using a Multivariate Plackett Distribution
- Marginally Specified Logistic‐Normal Models for Longitudinal Binary Data
- Approximate Inference in Generalized Linear Mixed Models
- A likelihood-based method for analysing longitudinal binary responses
- A simple approach for the analysis of generalizea linear mixed models
- Generalized linear mixed models a pseudo-likelihood approach
- Marginal correlation from an extended random-effects model for repeated and overdispersed counts
This page was built for publication: A combined overdispersed and marginalized multilevel model