Variable selection for misclassified current status data under the proportional hazards model-Reference-Cited by-同舟云学术

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Variable selection for misclassified current status data under the proportional hazards model

Published:2022-03-11 Issue: Volume: Page:1-10
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Wang Wenshan¹,Fang Lijun²,Li Shuwei²,Sun Jianguo³

Affiliation:

1. Center for Applied Statistical Research, School of Mathematics, Jilin University, Changchun, China

2. School of Economics and Statistics, Guangzhou University, Guangzhou, China

3. Department of Statistics, University of Missouri, Columbia, Missouri, USA

Funder

National Nature Science Foundation of China

Nature Science Foundation of Guangdong Province of China

Science and Technology Program of Guangzhou of China

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2022.2050391

Reference36 articles.

1. Estimation of discrete survival function for error-prone diagnostic tests

2. Estimation of a failure time distribution based on imperfect diagnostic tests

3. Heuristics of instability and stabilization in model selection

4. Variable selection for proportional hazards models with high‐dimensional covariates subject to measurement error

5. Broken adaptive ridge regression and its asymptotic properties

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