A comparative study of forest methods for time-to-event data: variable selection and predictive performance

BACKGROUND: As a hot method in machine learning field, the forests approach is an attractive alternative approach to Cox model. Random survival forests (RSF) methodology is the most popular survival forests method, whereas its drawbacks exist such as a selection bias towards covariates with many pos...

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Detalles Bibliográficos
Autores principales: Liu, Yingxin, Zhou, Shiyu, Wei, Hongxia, An, Shengli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465777/
https://www.ncbi.nlm.nih.gov/pubmed/34563138
http://dx.doi.org/10.1186/s12874-021-01386-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465777/
https://www.ncbi.nlm.nih.gov/pubmed/34563138
http://dx.doi.org/10.1186/s12874-021-01386-8

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