Fast Lasso method for large-scale and ultrahigh-dimensional Cox model with applications to UK Biobank.
We develop a scalable and highly efficient algorithm to fit a Cox proportional hazard model by maximizing the $L^1$-regularized (Lasso) partial likelihood function, based on the Batch Screening Iterative Lasso (BASIL) method developed in Qian and others (2019). Our algorithm is particularly suitable...
| Publicado en: | Biostatistics Vol. 23; no. 2; pp. 522 - 541 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Oxford University Press / USA
Apr2022
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| Acceso en línea: | Ver este registro en EBSCOhost |