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

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Published in Journal of Educational and Behavioral Statistics. 2004, vol. 29, p. 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 analyses 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 EquationMéthodologieStatistiqueSwilsoo
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GHISLETTA, Paolo, SPINI, Dario. An Introduction to Generalized Estimating Equations and an Application to Assess Selectivity Effects in a Longitudinal Study on Very Old Individuals. In: Journal of Educational and Behavioral Statistics, 2004, vol. 29, p. 421-437. https://archive-ouverte.unige.ch/unige:1573

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Deposited on : 2009-05-13

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