Fixed effects, random effects and GEE: What are the differences?
Fixed effects, random effects and GEE: What are the differences?
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DOI：
10.1002/sim.3478
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发表时间：
2009-01-30
影响因子：
2
通讯作者：
Roman, Lee Anne
中科院分区：
文献类型：
--
作者：
Gardiner, Joseph C.;Luo, Zhehui;Roman, Lee Anne
For analyses of longitudinal repeated-measures data, statistical methods include the random effects model, fixed effect, model and the method of generalized estimating equations. We examine the assumptions that underlie these approaches to assessing covariate effects oil the mean of a continuous, dichotomous or count outcome. Access to statistical software to implement these models has led to widespread application in numerous disciplines. However, careful consideration should be paid to their critical assumptions to ascertain which model might be appropriate in a given setting. To illustrate similarities and differences that might exist in empirical results, we use a study that assessed depressive symptoms in low-income pregnant women using a structured instrument with up to five assessments that spanned the pre-natal and post-natal periods. Understanding the conceptual differences between the methods is important in their proper application even though empirically they might not differ substantively. The choice of model in specific applications would depend on the relevant questions being addressed, which ill turn informs the type of design ana data collection that would be relevant. Copyright (C) 2008 John Wiley & Sons, Ltd.
