Effect of Omitted Confounders on the Analysis of Correlated Binary Data
From MaRDI portal
Publication:4349983
DOI10.2307/2533967zbMath0878.62078OpenAlexW2332891818WikidataQ36866774 ScholiaQ36866774MaRDI QIDQ4349983
Wei-Hsiung Chao, Terry Young, Mari Palta
Publication date: 27 August 1997
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/2533967
longitudinal datageneralized estimating equationsconfoundingmodel misspecificationpopulation averaged models
Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)
Related Items (6)
Criterion for the Selection of a Working Correlation Structure in the Generalized Estimating Equation Approach for Longitudinal Balanced Data ⋮ Conditional Generalized Estimating Equations for the Analysis of Clustered and Longitudinal Data ⋮ An Empirical Comparison of Several Clustered Data Approaches Under Confounding Due to Cluster Effects in the Analysis of Complications of Coronary Angioplasty ⋮ Efficiency comparison of methods for estimation in longitudinal regression models ⋮ Marginalized random-effects models for clustered binomial data through innovative link functions ⋮ On the effect of ignoring correlation in the covariates when fitting linear mixed models
This page was built for publication: Effect of Omitted Confounders on the Analysis of Correlated Binary Data
