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Pairwise likelihood for the longitudinal mixed Rasch model

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Feddag, M-L. and Bacci, S.. (2009) Pairwise likelihood for the longitudinal mixed Rasch model. Computational Statistics & Data Analysis, Vol.53 (No.4). pp. 1027-1037. ISSN 0167-9473

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.csda.2008.08.031

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. An inferential methodology based on the marginal pairwise likelihood approach is proposed. This method belonging to the broad class of composite likelihood involves marginal pairs probabilities of the responses which has analytical expression for the probit version of the model, from where we derived those of the logit version. The different results are illustrated with a simulation study and with an analysis of a real data from health-related quality of life. (C) 2008 Elsevier B.V. All rights reserved.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Q Science > QA Mathematics
Divisions: Faculty of Science > Statistics
Journal or Publication Title: Computational Statistics & Data Analysis
Publisher: Elsevier Science Ltd
ISSN: 0167-9473
Date: 15 February 2009
Volume: Vol.53
Number: No.4
Number of Pages: 11
Page Range: pp. 1027-1037
Identification Number: 10.1016/j.csda.2008.08.031
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: Economic and Social Research Council (Great Britain) (ESRC)
Grant number: RES-576-25-5020 (ESRC)
URI: http://wrap.warwick.ac.uk/id/eprint/28485

Data sourced from Thomson Reuters' Web of Knowledge

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