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Sparse boosting for high-dimensional survival data with varying coefficients

  • Published:2017-11-19 Issue:5 Volume:37 Page:789-800
  • ISSN:0277-6715
  • Container-title:Statistics in Medicine
  • language:en
  • Short-container-title:Statistics in Medicine

Author:

Yue Mu1ORCID,Li Jialiang123ORCID,Ma Shuangge4ORCID

Affiliation:

1. Department of Statistics and Applied Probability; National University of Singapore; Singapore

2. Duke-NUS Graduate Medical School; Singapore

3. Singapore Eye Research Institute; Singapore

4. School of Public Health; Yale University; 60 College ST, LEPH 206 New Haven 06520 CT USA

Funder

National Institutes of Health

Academic Research Funding

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference54 articles.

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

2. Variable selection via nonconcave penalized likelihood and its oracle properties;Fan;J Am Stat Assoc,2001

3. Nearly unbiased variable selection under minimax concave penalty;Zhang;The Ann Stat,2010

4. The adaptive lasso and its oracle properties;Zou;J Am Stat Assoc,2006

5. Regularization and variable selection via the elastic net;Zou;J R Stat Soc Ser B (Stat Method),2005

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