An Introduction to Generalized Estimating Equations and an Application to Assess Selectivity Effects in a Longitudinal Study on Very Old Individuals
2004 ◽
Vol 29
(4)
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pp. 421-437
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Keyword(s):
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.
2018 ◽
Vol 81
◽
pp. 1-11
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2004 ◽
Vol 1897
(1)
◽
pp. 106-115
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2013 ◽
Vol 38
(2)
◽
pp. 172-189
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2014 ◽
Vol 39
(3)
◽
pp. 242-254
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RE: "STATISTICAL ANALYSIS OF CORRELATED DATA USING GENERALIZED ESTIMATING EQUATIONS: AN ORIENTATION"
2003 ◽
Vol 158
(3)
◽
pp. 289-b-289
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2003 ◽
Vol 157
(4)
◽
pp. 364-375
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