An Introduction to Generalized Estimating Equations and an Application to Assess Selectivity Effects in a Longitudinal Study on Very Old Individuals

Paolo Ghisletta and Dario Spini

Journal of Educational and Behavioral Statistics, 2004, vol. 29, issue 4, 421-437

Abstract: Correlated data are very common in the social sciences. Most common applications include longitudinal and hierarchically organized (or clustered) data. Generalized estimating equations (GEE) are a convenient and general approach to the analysis of several kinds of correlated data. The main advantage of GEE resides in the unbiased estimation of population-averaged regression coefficients despite possible misspecification of the correlation structure. This article aims to provide a concise, nonstatistical introduction to GEE. To illustrate the method, an analysis of selectivity effects in the Swiss Interdisciplinary Longitudinal Study on the Oldest Old is presented.

Keywords: clustered data; generalized estimating equations; population-averaged method; selectivity effects (search for similar items in EconPapers)
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:29:y:2004:i:4:p:421-437

DOI: 10.3102/10769986029004421

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