Journal
STATISTICAL METHODS IN MEDICAL RESEARCH
Volume 19, Issue 3, Pages 271-289Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/0962280209105016
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Funding
- MRC [G0600555]
- UK Department of Health
- MRC [G0600555] Funding Source: UKRI
- Medical Research Council [G0600555] Funding Source: researchfish
- National Institute for Health Research [PHCS/C4/4/002] Funding Source: researchfish
- National Institutes of Health Research (NIHR) [PHCS/C4/4/002] Funding Source: National Institutes of Health Research (NIHR)
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Repeated measures and multivariate outcomes are all 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.
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