Regression for Longitudinal Data: A Bridge from Least Squares Regression
作者:
DorothyD. Dunlop,
期刊:
The American Statistician
(Taylor Available online 1994)
卷期:
Volume 48,
issue 4
页码: 299-303
ISSN:0003-1305
年代: 1994
DOI:10.1080/00031305.1994.10476085
出版商: Taylor & Francis Group
关键词: General linear models;Generalized estimating equations;Repeated measures
数据来源: Taylor
摘要:
Longitudinal studies play a prominent role in biomedical and sociological research. Generalized estimating equations (GEE) provide a regression methodology to analyze the correlated data that often result from a longitudinal study. Many applied researchers are attracted to the informative and valid analyses GEE provides but cannot clear the hurdle of understanding the literature. This article places GEE in more familiar territory by building a link from the well-known least squares regression methodology.
点击下载:
PDF (546KB)
返 回