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Random survival forests for competing risks

We introduce a new approach to competing risks using random forests. Our method is fully non-parametric and can be used for selecting event-specific variables and for estimating the cumulative incidence function. We show that the method is highly effective for both prediction and variable selection...

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Autori principali: Ishwaran, Hemant, Gerds, Thomas A., Kogalur, Udaya B., Moore, Richard D., Gange, Stephen J., Lau, Bryan M.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Oxford University Press 2014
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4173102/
https://ncbi.nlm.nih.gov/pubmed/24728979
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxu010
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