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...

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Detalles Bibliográficos
Autores principales: Nasejje, Justine B., Mwambi, Henry, Dheda, Keertan, Lesosky, Maia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
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

Internet

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

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