Selection of Working Correlation Structure and Best Model in GEE Analyses of Longitudinal Data

The Generalized Estimating Equations (GEE) method is one of the most commonly used statistical methods for the analysis of longitudinal data in epidemiological studies. A working correlation structure for the repeated measures of the outcome variable of a subject needs to be specified by this method...

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Bibliographic Details
Published in:	Communications in statistics. Simulation and computation Vol. 36; no. 5; pp. 987 - 996
Main Authors:	Cui, James, Qian, Guoqi
Format:	Journal Article
Language:	English
Published:	Colchester Taylor & Francis Group 30.08.2007 Taylor & Francis
Subjects:	AIC Distribution theory Exact sciences and technology GEE Longitudinal study Mathematics Multivariate analysis Numerical analysis Numerical analysis. Scientific computation Numerical methods in probability and statistics Parametric inference Primary 62J12 Probability and statistics QIC Sciences and techniques of general use Secondary 62P10 Statistics Biometrics Rank statistic Correlation Statistical distribution Information criterion QIC. Primary 62J12 Multivariate analysis Computing Epidemiology Parametric method Medical science Generalized equation Distribution function Repeated measurement Correlation function Selection method Approximation theory Secondary 62P10 AIC Likelihood function Data analysis Statistical analysis Model selection GEE Longitudinal study Statistical association Akaike information criterion Statistical estimation Statistical method Selection problem Correlation analysis Quasi likelihood Numerical simulation Estimating equation Software Maximum likelihood Application Computing method
ISSN:	0361-0918, 1532-4141
Online Access:	Get full text
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