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A boosting first-hitting-time model for survival analysis in high-dimensional settings
In this paper we propose a boosting algorithm to extend the applicability of a first hitting time model to high-dimensional frameworks. Based on an underlying stochastic process, first hitting time models do not require the proportional hazards assumption, hardly verifiable in the high-dimensional c...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006065/ https://www.ncbi.nlm.nih.gov/pubmed/35476164 http://dx.doi.org/10.1007/s10985-022-09553-9 |