Cargando…
Novel Harmonic Regularization Approach for Variable Selection in Cox's Proportional Hazards Model
Variable selection is an important issue in regression and a number of variable selection methods have been proposed involving nonconvex penalty functions. In this paper, we investigate a novel harmonic regularization method, which can approximate nonconvex Lq (1/2 < q < 1) regularizations, t...
Autores principales: | Chu, Ge-Jin, Liang, Yong, Wang, Jia-Xuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4259133/ https://www.ncbi.nlm.nih.gov/pubmed/25506389 http://dx.doi.org/10.1155/2014/857398 |
Ejemplares similares
-
Improving the Robustness of Variable Selection and Predictive Performance of Regularized Generalized Linear Models and Cox Proportional Hazard Models
por: Hong, Feng, et al.
Publicado: (2023) -
Detecting prognostic biomarkers of breast cancer by regularized Cox proportional hazards models
por: Li, Lingyu, et al.
Publicado: (2021) -
Tests for the proportional hazards assumption in the Cox model
por: Reiersølmoen, L, et al.
Publicado: (2001) -
Evaluation of instrumental variable method using Cox proportional hazard model in epidemiological studies
por: Uddin, Md. Jamal, et al.
Publicado: (2023) -
A Bayesian Approach for the Cox Proportional Hazards Model with Covariates Subject to Detection Limit
por: Chen, Qingxia, et al.
Publicado: (2014)