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Robust Joint Modeling of Longitudinal Measurements and Competing Risks Failure Time Data

Existing methods for joint modeling of longitudinal measurements and survival data can be highly influenced by outliers in the longitudinal outcome. We propose a joint model for analysis of longitudinal measurements and competing risks failure time data which is robust in the presence of outlying lo...

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Bibliografiske detaljer
Main Authors: Li, Ning, Elashoff, Robert M., Li, Gang
Format: Artigo
Sprog:Inglês
Udgivet: 2009
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2726782/
https://ncbi.nlm.nih.gov/pubmed/19197956
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/bimj.200810491
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