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Document type:
Zeitschriftenaufsatz 
Author(s):
Varin, C. and Czado, C. 
Title:
A mixed autoregressive probit model for ordinal longitudinal data 
Abstract:
Longitudinal data with binary and ordinal outcomes routinely appear in medical applications. Existing methods are typically designed to deal with short measurement series. In contrast, modern longitudinal data can result in large numbers of subject-specific serial observations. In this framework, we consider multivariate probit models with random effects to capture heterogeneity and autoregressive terms for describing the serial dependence. Since likelihood inference for the proposed c...    »
 
Keywords:
Autoregressive residuals; Composite likelihood; Longitudinal data; Migraine severity; Ordinal probit; Mixed models; Pairwise likelihood. 
Journal title:
Biostatistics 
Year:
2009 
Journal volume:
11 
Year / month:
2009-11 
Journal issue:
Pages contribution:
127-138 
Reviewed:
ja 
Language:
en 
Status:
Verlagsversion / published 
Semester:
SS 10 
Format:
Text