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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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Main Authors: Li, Ning, Elashoff, Robert M., Li, Gang
格式: Artigo
語言:Inglês
出版: 2009
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在線閱讀: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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