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The competing risks Cox model with auxiliary case covariates under weaker missing-at-random cause of failure

In the analysis of time-to-event data with multiple causes using a competing risks Cox model, often the cause of failure is unknown for some of the cases. The probability of a missing cause is typically assumed to be independent of the cause given the time of the event and covariates measured before...

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Vydáno v:Lifetime Data Anal
Hlavní autoři: Nevo, Daniel, Nishihara, Reiko, Ogino, Shuji, Wang, Molin
Médium: Artigo
Jazyk:Inglês
Vydáno: 2017
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5797530/
https://ncbi.nlm.nih.gov/pubmed/28779227
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10985-017-9401-8
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