Intra-cluster correlation structure in longitudinal data analysis: Selection criteria and misspecification tests

Xu, Jianwen & Wang, You-Gan (2014) Intra-cluster correlation structure in longitudinal data analysis: Selection criteria and misspecification tests. Computational Statistics and Data Analysis, 80, pp. 70-77.

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Selection criteria and misspecification tests for the intra-cluster correlation structure (ICS) in longitudinal data analysis are considered. In particular, the asymptotical distribution of the correlation information criterion (CIC) is derived and a new method for selecting a working ICS is proposed by standardizing the selection criterion as the p-value. The CIC test is found to be powerful in detecting misspecification of the working ICS structures, while with respect to the working ICS selection, the standardized CIC test is also shown to have satisfactory performance. Some simulation studies and applications to two real longitudinal datasets are made to illustrate how these criteria and tests might be useful.

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ID Code: 90422
Item Type: Journal Article
Refereed: Yes
Keywords: Correlation structure selection, Longitudinal data, Information ratio, test, generalized estimating equations, working-correlation-structure, linear-models, likelihood, covariate
DOI: 10.1016/j.csda.2014.06.013
ISSN: 0167-9473
Divisions: Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 17 Nov 2015 05:51
Last Modified: 20 Nov 2015 00:25

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