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A semiparametric copula method for Cox models with covariate measurement error

We consider measurement error problem in the Cox model, where the underlying association between the true exposure and its surrogate is unknown, but can be estimated from a validation study. Under this framework, one can accommodate general distributional structures for the error-prone covariates, n...

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書誌詳細
出版年:Lifetime Data Anal
主要な著者: Kim, Sehee, Li, Yi, Spiegelman, Donna
フォーマット: Artigo
言語:Inglês
出版事項: 2014
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4466084/
https://ncbi.nlm.nih.gov/pubmed/25504515
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10985-014-9315-7
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