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ERIC Number: EJ727521
Record Type: Journal
Publication Date: 2004
Pages: 17
Abstractor: Author
ISSN: ISSN-1076-9986
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.
American Educational Research Association, 1230 17th St. NW, Washington, DC 20036-3078. Tel: 202-223-9485; Fax: 202-775-1824; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Switzerland