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Fixed effects, random effects and GEE

What are the differences?

Bibliographic Data

ID23337692
AuthorsJoseph C Gardiner (0000-0003-2605-6478, Michigan State University, corresponding author), Zhehui Luo (0000-0001-9193-3380, RTI International), Lee Anne Roman (0000-0003-1978-9307, Michigan State University)
Year2009
Volume28
Issue2
Pages221-239
Publication date2009-01-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueStatistics in Medicine (JOURNAL)
Journal identifiersISSN: 0277-6715 • E-ISSN: 1097-0258
PublisherWiley (PUBLISHER • GB)
DOI10.1002/sim.3478
PMID19012297
OpenAlexW2003750542
LanguageEN
Citations received59
References cited41

For analyses of longitudinal repeated‐measures data, statistical methods include the random effects model, fixed effects model and the method of generalized estimating equations. We examine the assumptions that underlie these approaches to assessing covariate effects on 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 in turn informs the type of design and data collection that would be relevant. Copyright © 2008 John Wiley & Sons, Ltd.

Covariate · Data mining · Econometrics · Fixed effects model · Gee · Generalized estimating equation · Longitudinal data · Meta-analysis · Outcome (game theory) · Panel data · Random effects model · Statistical model · Statistics · Advanced Causal Inference Techniques · Computer Science · Maternal Mental Health During Pregnancy and Postpartum · Mathematics · Medicine · Statistical Methods and Bayesian Inference

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Unique citing works59
Citations per year3,47
Citation span2009 - 2026 (18)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 53

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