array(2) { ["lab"]=> string(4) "1409" ["publication"]=> string(5) "12528" } A novel L1/2 regularization shooting method for Cox’s proportional hazards model - Liang Yong | LabXing

Liang Yong

简介 中藥質量控制資訊系統，生物資訊學

大学 Macau University of Science and Technology / Faculty of Information Technology
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A novel L1/2 regularization shooting method for Cox’s proportional hazards model

2014
期刊 Soft Computing
Nowadays, a series of methods are based on a L 1 penalty to solve the variable selection problem for a Cox’s proportional hazards model. In 2010, Xu et al. have proposed a L 1/2 regularization and proved that the L 1/2 penalty is sparser than the L 1 penalty in linear regression models. In this paper, we propose a novel shooting method for the L 1/2 regularization and apply it on the Cox model for variable selection. The experimental results based on comprehensive simulation studies, real Primary Biliary Cirrhosis and diffuse large B cell lymphoma datasets show that the L 1/2 regularization shooting method performs competitively.

  • 卷 18
  • 期 1
  • 页码 143-152
  • Springer Berlin Heidelberg
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