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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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| Auteurs principaux: | , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Oxford University Press
2014
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| Sujets: | |
| Accès en ligne: | 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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