Fixed effects, random effects and GEE: What are the differences?

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, dic...

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Veröffentlicht in:	Statistics in medicine 2009-01, Vol.28 (2), p.221-239
Hauptverfasser:	Gardiner, Joseph C., Luo, Zhehui, Roman, Lee Anne
Format:	Artikel
Sprache:	eng
Schlagworte:	CES-D Community Health Workers conditional maximum likelihood Data collection Depression - physiopathology Differences fixed effects generalized linear mixed model Hausman test Humans Likelihood Functions linear mixed model Linear Models Longitudinal Studies Low income groups Maximum likelihood method Medical statistics Models, Statistical Nurses Patient Care Team - statistics & numerical data Pregnancy Random Allocation random effects robust variance Studies
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