ERIC Number: EJ727521
Record Type: Journal
Publication Date: 2004
An Introduction to Generalized Estimating Equations and an Application to Assess Selectivity Effects in a Longitudinal Study on Very Old Individuals
Ghisletta, Paolo; Spini, Dario
Journal of Educational and Behavioral Statistics, v29 n4 p421-437 Win 2004
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.
Descriptors: Correlation, Data, Data Analysis, Equations (Mathematics), Computation, Longitudinal Studies, Older Adults
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Authoring Institution: N/A
Identifiers - Location: Switzerland