Feddag, Mohand L.. (2008) Statistical inference for the multidimensional mixed Rasch model. Communications in Statistics: Simulation and Computation, Vol.37 (No.9). pp. 1732-1749. ISSN 0361-0918

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Abstract

Inference in generalized linear mixed models with multivariate random effects is often made cumbersome by the high-dimensional intractable integrals involved in the marginal likelihood. This article presents an inferential methodology based on the GEE approach. This method involves the approximations of the marginal likelihood and joint moments of the variables. It is also proposed an approximate Akaike and Bayesian information criterions based on the approximate marginal likelihood using the estimation of the parameters by the GEE approach. The different results are illustrated with a simulation study and with an analysis of real data from health-related quality of life.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics
Divisions:	Faculty of Science > Statistics
Journal or Publication Title:	Communications in Statistics: Simulation and Computation
Publisher:	Taylor & Francis Inc.
ISSN:	0361-0918
Date:	2008
Volume:	Vol.37
Number:	No.9
Number of Pages:	18
Page Range:	pp. 1732-1749
Identification Number:	10.1080/03610910802255832
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
URI:	http://wrap.warwick.ac.uk/id/eprint/29263

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