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Penalized Empirical Likelihood for the Sparse Cox Regression Model

The current penalized regression methods for selecting predictor variables and estimating the associated regression coefficients in the sparse Cox model are mainly based on partial likelihood. In this paper, a bias-corrected empirical likelihood method is proposed for the sparse Cox model in conjunc...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:J Stat Plan Inference
Prif Awduron: Wang, Dongliang, Wu, Tong Tong, Zhao, Yichuan
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: 2018
Pynciau:
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC6777733/
https://ncbi.nlm.nih.gov/pubmed/31588162
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jspi.2018.12.001
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