Working CorrelationStructure Selection in Generalized Estimating Equations

FU Liya; WANG You-Gan

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Working CorrelationStructure Selection in Generalized Estimating Equations

FU Liya 1, WANG You-Gan 2

1. School of Mathematics and Statistics, Xi'an JiaotongUniversity, Xi'an 710049

2. School of Mathematical Sciences, Queensland University ofTechnology, Brisbane 4000

*Correspondence author

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Funding: Foundations: the National Science Foundation of China （No.Nos.11201365 and 11301408）, Specialized Research Fund for the Doctoral Program of Higher Education （No.20120201120053）

Opened online: 3 June 2016

Accepted by: none

Citation: FU Liya, WANG You-Gan.Working CorrelationStructure Selection in Generalized Estimating Equations[OL]. [ 3 June 2016] http://en.paper.edu.cn/en_releasepaper/content/4689587

Selecting an appropriate correlation structure in analysis oflongitudinal data can greatly improve parameter estimationefficiency and hence leads to more reliable statistical inferences.There are a number of criteria proposed in recent literaturederived from different perspectives and little is known on their relative performance.To this end, this paper reviewed and evaluated these criteria by carrying outextensive simulation studies including Gaussian, binary and Poissonresponses. Surprisingly, the AIC and BIC based on either Gaussian working likelihood orempirical likelihood were found that they outperformed the others.

Keywords:empirical likelihood；Gaussian distribution； model selection

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