Latent mixture models for multivariate and longitudinal outcomes-Reference-Cited by-同舟云学术

Latent mixture models for multivariate and longitudinal outcomes

Published:2009-07-16 Issue:3 Volume:19 Page:271-289
ISSN:0962-2802
Container-title:Statistical Methods in Medical Research
language:en
Short-container-title:Stat Methods Med Res

Author:

Pickles Andrew¹,Croudace Tim²

Affiliation:

1. Biostatistics, Health Methodology Research Group, University of Manchester, University Place, Oxford Road, Manchester, M13 9PL, UK,

2. Department of Psychiatry, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 2QQ, UK

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.

Publisher

SAGE Publications

Subject

Health Information Management,Statistics and Probability,Epidemiology

Link

http://journals.sagepub.com/doi/pdf/10.1177/0962280209105016

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