Small sample estimation properties of longitudinal count models
DOI10.1080/00949651003674144zbMath1431.62307OpenAlexW2052161550WikidataQ57346566 ScholiaQ57346566MaRDI QIDQ4914955
Melanie Bell, Gary K. Grunwald
Publication date: 16 April 2013
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949651003674144
biasinteractionGEEcorrelated dataPoissontype I error rateGLMMMancl and DeRouen correctionREPLsandwich standard errors
Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)
Related Items (2)
Cites Work
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- A Covariance Estimator for GEE with Improved Small‐Sample Properties
- Small-Sample Adjustments for Wald-Type Tests Using Sandwich Estimators
- Models for discrete longitudinal data.
- Copula Modeling: An Introduction for Practitioners
- Akaike's Information Criterion in Generalized Estimating Equations
- Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data
- Evaluation of Community-Intervention Trials via Generalized Linear Mixed Models
- Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood
- Bias Correction in Generalized Linear Mixed Models With Multiple Components of Dispersion
- A Note on the Efficiency of Sandwich Covariance Matrix Estimation
- Approximate Inference in Generalized Linear Mixed Models
- Some remarks on overdispersion
- Bias correction in generalised linear mixed models with a single component of dispersion
- Generalized linear mixed models a pseudo-likelihood approach
- Small Sample Inference for Clustered Data
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