Variable selection for recurrent event data with broken adaptive ridge regression-Reference-Cited by-同舟云学术

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Variable selection for recurrent event data with broken adaptive ridge regression

Published:2018-08-10 Issue:3 Volume:46 Page:416-428
ISSN:0319-5724
Container-title:Canadian Journal of Statistics
language:en
Short-container-title:Can J Statistics

Author:

Zhao Hui¹,Sun Dayu²,Li Gang³,Sun Jianguo²^ORCID

Affiliation:

1. School of Mathematics and Statistics & Hubei Key Laboratory of Mathematical Sciences; Central China Normal University; Wuhan China

2. Department of Statistics; University of Missouri; Columbia MO U.S.A.

3. Department of Biostatistics; University of California at Los Angeles; CA U.S.A.

Funder

US National Institutes of Health

National Nature Science Foundation of China

CCNU from the college's basic research of MOE

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cjs.11459/fullpdf

Reference19 articles.

1. Statistical Models Based on Counting Processes

2. Marginal means/rates models for multiple type recurrent event data;Cai;Lifetime Data Analysis,2004

3. Variable selection in the additive rate model for recurrent event data;Chen;Computational Statistics and Data Analysis,2013

4. Variable selection via nonconcave penalized likelihood and its oracle property;Fan;Journal of the American Statistical Association,2001

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Censored broken adaptive ridge regression in high-dimension;Computational Statistics;2024-01-17

2. Towards filling the gaps around recurrent events in high dimensional framework: a systematic literature review and application*;Biostatistics & Epidemiology;2023-01-02

3. A New ℓ0-Regularized Log-Linear Poisson Graphical Model with Applications to RNA Sequencing Data;Journal of Computational Biology;2021-09-01

4. Scalable Algorithms for Large Competing Risks Data;Journal of Computational and Graphical Statistics;2020-12-11

5. Group variable selection in the Andersen–Gill model for recurrent event data;Journal of Statistical Planning and Inference;2020-07

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