Abstract:
:Multivariate outcomes measured longitudinally over time are common in medicine, public health, psychology and sociology. The typical (saturated) longitudinal multivariate regression model has a separate set of regression coefficients for each outcome. However, multivariate outcomes are often quite similar and many outcomes can be expected to respond similarly to changes in covariate values. Given a set of outcomes likely to share common covariate effects, we propose the clustered outcome common predictor effect model and offer a two step iterative algorithm to fit the model using available software for univariate longitudinal data. Outcomes that share predictor effects need not be chosen a priori; we propose model selection tools to let the data select outcome clusters. We apply the proposed methods to psychometric data from adolescent children of HIV+ parents.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Jia J,Weiss REdoi
10.1002/sim.3589subject
Has Abstractpub_date
2009-06-15 00:00:00pages
1793-804issue
13eissn
0277-6715issn
1097-0258journal_volume
28pub_type
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