Abstract
Researchers are often interested in analyzing data that arise from longitudinal studies. And estimating equations for generalized linear modeling of longitudinal data have attracted a great deal of attention over the last two decades. Liang and Zeger (1986) presented an approach, generalized estimating equations (GEEs) which extended from generalized linear models (GLMs) to a regression setting with correlated observations within subjects, to these problems. This paper provides briefly review the GLM and GEE methodologies, and illustrate its implementation with a home-care example using the GENMOD procedure in SAS/STAT software to solve GEE in the analysis of correlated data.
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