2009Journal of Data AnalysisRequires access

Using SAS/GENMOD Procedure to Fit GEE Regression Models

Miin‐Jye Wen, Lily Yeh

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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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What this paper is about

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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Available 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.

Key concepts: Generalized estimating equation, Gee, Generalized linear model, Marginal model, Mathematics, Estimating equations, Statistics, Econometrics

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