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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Communications in statistics. Simulation and computation Jg. 36; H. 5; S. 987 - 996
Hauptverfasser:	Cui, James, Qian, Guoqi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Colchester Taylor & Francis Group 30.08.2007 Taylor & Francis
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!