A Comparison of Correlation Structure Selection Penalties for Generalized Estimating Equations

DOI10.1080/00031305.2016.1200490OpenAlexW2426588639WikidataQ92659628 ScholiaQ92659628MaRDI QIDQ6039631

Publication date: 23 May 2023

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://europepmc.org/articles/pmc6433418

zbMATH Keywords

longitudinal data efficiency bias-correction empirical covariance matrix

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

A PRESS statistic for working correlation structure selection in generalized estimating equations ⋮ Approaches for the utilization of multiple criteria to select a working correlation structure for use within generalized estimating equations ⋮ A caution in the use of multiple criteria for selecting working correlation structure in generalized estimating equations

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
Computation of multivariate normal and \(t\) probabilities
Estimating the dimension of a model
Empirical likelihood and general estimating equations
A Gaussian pseudolikelihood approach for quantile regression with repeated measurements
Akaike's Information Criterion in Generalized Estimating Equations
Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data
Empirical likelihood ratio confidence intervals for a single functional
Regression and time series model selection in small samples
Miscellanea. On the efficiency of regression estimators in generalised linear models for longitudinal data
Efficiency of Regression Estimates for Clustered Data
Working correlation structure misspecification, estimation and covariate design: Implications for generalised estimating equations performance
A Note on the Efficiency of Sandwich Covariance Matrix Estimation
On the use of a working correlation matrix in using generalised linear models for repeated measures
A Caveat Concerning Independence Estimating Equations with Multivariate Binary Data
Small Sample Correction for the Variance of GEE Estimators
Generalized Estimating Equations in Controlled Clinical Trials: Hypotheses Testing
A covariance correction that accounts for correlation estimation to improve finite-sample inference with generalized estimating equations: a study on its applicability with structured correlation matrices
Quasi-Least Squares Regression
A new look at the statistical model identification

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