Fast Lasso‐type safe screening for Fine‐Gray competing risks model with ultrahigh dimensional covariates

Author:

Wang Hong1ORCID,Shen Zhenyuan1,Tan Zhelun1,Zhang Zhuan1,Li Gang2ORCID

Affiliation:

1. School of Mathematics and Statistics Central South University Changsha Hunan China

2. Department of Biostatistics, UCLA Fielding School of Public Health University of California, Los Angeles Los Angeles California USA

Funder

National Social Science Fund of China

National Institutes of Health

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference31 articles.

1. Regression shrinkage and selection via the lasso;Tibshirani R;J Royal Stat Soc Ser B (Methodol),1996

2. The Adaptive Lasso and Its Oracle Properties

3. KoJ.Solving the Cox Proportional Hazards Model and Its Applications. Master's thesis. EECS Department University of California Berkeley;2017.

4. WangY XiangZJ RamadgePJ.Lasso screening with a small regularization parameter. Proceedings of the 2013 IEEE International Conference on Acoustics Speech and Signal Processing; May 26 2013:3342‐3346; IEEE.

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