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Joint Models for a Primary Endpoint and Multiple Longitudinal Covariate Processes

Joint models are formulated to investigate the association between a primary endpoint and features of multiple longitudinal processes. In particular, the subject-specific random effects in a multivariate linear random effects model for multiple longitudinal processes are predictors in a generalized...

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Bibliografische gegevens
Gepubliceerd in:Biometrics
Hoofdauteurs: Li, Erning, Wang, Naisyin, Wang, Nae-Yuh
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2007
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4443486/
https://ncbi.nlm.nih.gov/pubmed/17501940
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2007.00822.x
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