Small sample characteristics of generalized estimating equations

DOI10.1080/03610919508813280zbMath0850.62817OpenAlexW1996120419MaRDI QIDQ4859883

C. Getchell, Vernon M. Chinchilli, J. C. Gunsolley

Publication date: 15 January 1996

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

Full work available at URL: https://doi.org/10.1080/03610919508813280

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (7)

Inference from heteroscedastic functional data ⋮ Clustered data with small sample sizes: Comparing the performance of model-based and design-based approaches ⋮ Small sample inference for the fixed effects in the mixed linear model ⋮ A Covariance Estimator for GEE with Improved Small‐Sample Properties ⋮ Small-Sample Adjustments for Wald-Type Tests Using Sandwich Estimators ⋮ Comparison of methods for ordinal lens opacity data from atomic-bomb survivors: Univariate worse-eye method and bivariate GEE method using global odds ratio ⋮ Anova for repeated ordinal data with small sample size? a comparison of anova, manova, wls and gee methods by simulation

Cites Work

• Longitudinal data analysis using generalized linear models
• Correlated Binary Regression with Covariates Specific to Each Binary Observation
• Regression analysis of correlated binary data: some small sample results for the estimating equation approach

This page was built for publication: Small sample characteristics of generalized estimating equations