Covariance pattern mixture models for the analysis of multivariate heterogeneous longitudinal data

We propose a novel approach for modeling multivariate longitudinal data in the presence of unobserved heterogeneity for the analysis of the Health and Retirement Study (HRS) data. Our proposal can be cast within the framework of linear mixed models with discrete individual random intercepts; however...

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Bibliographic Details
Authors: Anderlucci, Laura (Author) ; Viroli, Cinzia (Author)
Format: Electronic Article
Language:English
Published: 2015
In: The annals of applied statistics
Year: 2015
Online Access: Volltext (kostenfrei)
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