Estimation using penalized quasilikelihood and quasi-pseudo-likelihood in Poisson mixed models
DOI10.1007/s10985-007-9071-zzbMath1331.62362OpenAlexW2092106732WikidataQ51898462 ScholiaQ51898462MaRDI QIDQ636151
Publication date: 25 August 2011
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10985-007-9071-z
asymptotic biasoverdispersionvariance componentsLaplace expansionestimating equationsgeneralized linear mixed models
Asymptotic properties of parametric estimators (62F12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)
Related Items (3)
Cites Work
- Unnamed Item
- Unnamed Item
- Asymptotic properties of maximum likelihood estimates in the mixed model of the analysis of variance
- Some Covariance Models for Longitudinal Count Data with Overdispersion
- Models for Longitudinal Data: A Generalized Estimating Equation Approach
- Estimating Equations for Parameters in Means and Covariances of Multivariate Discrete and Continuous Responses
- A generalized linear model with nested strata of extra-Poisson variation
- Negative binomial and mixed poisson regression
- Penalized Likelihood for General Semi-Parametric Regression Models
- Variance Function Estimation
- Nonlinear component of variance models
- Estimation in generalized linear models with random effects
- Nonlinear Regression With Variance Components
- Heterogeneity in Mantel-Haenszel-type models
- Bias Correction in Generalized Linear Mixed Models With Multiple Components of Dispersion
- A Composite Likelihood Approach to Binary Spatial Data
- Approximate Inference in Generalized Linear Mixed Models
- Bias correction in generalised linear mixed models with a single component of dispersion
This page was built for publication: Estimation using penalized quasilikelihood and quasi-pseudo-likelihood in Poisson mixed models