General Methodology I
Regression analysis with clustered data
Article first published online: 15 OCT 2006
Copyright © 1994 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 13, Issue 5-7, pages 509–522, 15 March - 15 April 1994
How to Cite
Graubard, B. I. and Korn, E. L. (1994), Regression analysis with clustered data. Statist. Med., 13: 509–522. doi: 10.1002/sim.4780130514
- Issue published online: 15 OCT 2006
- Article first published online: 15 OCT 2006
Clustered data are found in many different types of studies, for example, studies involving repeated measures, inter-rater agreement studies, household surveys, crossover designs and community randomized trials. Analyses based on population average and cluster specific models are commonly used for estimating treatment (exposure) effects with clustered data. This paper discusses conditions when one or both types of models are appropriate for estimating causal effects and when there is agreement between population average and cluster specific analyses. Applications of survey sampling methods to the robust estimation of standard errors of estimated treatment parameters are discussed.