Using SAS/GENMOD Procedure to Fit GEE Regression Models

研究者常有興趣對縱貫性研究資料之分析。近二十年，對於縱貫性資料之一般化線性模式之估計方程式吸引許多人注意。Liang和Zeger（1986）提出一般化估計方程式來解決這方面的問題。一般化估計方程式是延伸一般化線性模式至迴歸方程式之個體間是相關的情形。本文提供一個簡短的說明一般化線性模式與一般化估計方程式方法並舉一個居家護理之實例，利用SAS軟體中之GENMOD程序來說明一般化估計方程式方法在相關性資料分析上之處理。

關鍵字

一般化估計方程式；一般化線性模式； SAS/GENMOD程序；居家護理

並列摘要

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.

並列關鍵字

Generalized estimating equations ； Generalized linear model ； SAS/GENMOD procedure ； Home care

參考文獻

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