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A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects

This article studies a general joint model for longitudinal measurements and competing risks survival data. The model consists of a linear mixed effects sub-model for the longitudinal outcome, a proportional cause-specific hazards frailty sub-model for the competing risks survival data, and a regres...

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Bibliografische gegevens
Hoofdauteurs: Huang, Xin, Li, Gang, Elashoff, Robert M., Pan, Jianxin
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2010
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3162577/
https://ncbi.nlm.nih.gov/pubmed/20549344
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10985-010-9169-6
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