On the use of between–within models to adjust for confounding due to unmeasured cluster-level covariates

DOI10.1080/03610918.2015.1024858zbMath1372.62025OpenAlexW2561618739MaRDI QIDQ4976574

Li Li, Babette A. Brumback, Zhuangyu Cai

Publication date: 31 July 2017

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

Full work available at URL: https://doi.org/10.1080/03610918.2015.1024858

zbMATH Keywords

heteroscedasticitycovariatesclustered datageneralized linear mixed modelsunmeasured confoundingbetween-within modelscluster-level covariatesgeneralized linear mixed models (GLMMs)

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Generalized linear models (logistic models) (62J12)

Uses Software

• SAS