TITLE

Latent mixture models for multivariate and longitudinal outcomes

AUTHOR(S)
Pickles, Andrew; Croudace, Tim
PUB. DATE
June 2010
SOURCE
Statistical Methods in Medical Research;Jun2010, Vol. 19 Issue 3, p271
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Repeated measures and multivariate outcomes are an increasingly common feature of trials. Their joint analysis by means of random effects and latent variable models is appealing but patterns of heterogeneity in outcome profile may not conform to standard multivariate normal assumptions. In addition, there is much interest in both allowing for and identifying sub-groups of patients who vary in treatment responsiveness. We review methods based on discrete random effects distributions and mixture models for application in this field.
ACCESSION #
51995936

 

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