A comparison of several approaches for choosing between working correlation structures in generalized estimating equation analysis of longitudinal binary data

• Published in: Statistics in medicine Vol. 28; no. 18; pp. 2338 - 2355
• Main Authors: Shults, Justine, Sun, Wenguang, Tu, Xin, Kim, Hanjoo, Amsterdam, Jay, Hilbe, Joseph M., Ten-Have, Thomas
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 15.08.2009
• Subjects: Antidepressive Agents, Second-Generation - therapeutic use; Biometry; Computer Simulation; correlated binary data; Cyclohexanols - therapeutic use; Depressive Disorder, Major - drug therapy; first-order autoregressive correlation structure; generalized estimating equations; Humans; Linear Models; Lithium Compounds - therapeutic use; longitudinal data; Longitudinal Studies; longitudinal study; Prospective Studies; Randomized Controlled Trials as Topic - statistics & numerical data; Regression Analysis; Venlafaxine Hydrochloride

The method of generalized estimating equations (GEE) models the association between the repeated observations on a subject with a patterned correlation matrix. Correct specification of the underlying structure is a potentially beneficial goal, in terms of improving efficiency and enhancing scientifi...