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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...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:Lifetime Data Anal
Päätekijät: Kim, Sehee, Li, Yi, Spiegelman, Donna
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2014
Aiheet:
Linkit: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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