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A comparison of the conditional inference survival forest model to random survival forests based on a simulation study as well as on two applications with time-to-event data
BACKGROUND: Random survival forest (RSF) models have been identified as alternative methods to the Cox proportional hazards model in analysing time-to-event data. These methods, however, have been criticised for the bias that results from favouring covariates with many split-points and hence conditi...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5534080/ https://www.ncbi.nlm.nih.gov/pubmed/28754093 http://dx.doi.org/10.1186/s12874-017-0383-8 |