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Smooth semi‐nonparametric (SNP) estimation of the cumulative incidence function
This paper presents a novel approach to estimation of the cumulative incidence function in the presence of competing risks. The underlying statistical model is specified via a mixture factorization of the joint distribution of the event type and the time to the event. The time to event distributions...
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| Publicado no: | Stat Med |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5518232/ https://ncbi.nlm.nih.gov/pubmed/28543626 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.7331 |
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