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Semiparametric regression and risk prediction with competing risks data under missing cause of failure
The cause of failure in cohort studies that involve competing risks is frequently incompletely observed. To address this, several methods have been proposed for the semiparametric proportional cause-specific hazards model under a missing at random assumption. However, these proposals provide inferen...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7381366/ https://www.ncbi.nlm.nih.gov/pubmed/31982977 http://dx.doi.org/10.1007/s10985-020-09494-1 |