Quantile regression for competing risks data from stratified case-cohort studies: an induced-smoothing approach-Reference-Cited by-同舟云学术

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Quantile regression for competing risks data from stratified case-cohort studies: an induced-smoothing approach

Published:2022-10-21 Issue: Volume: Page:1-19
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Son Dongjae¹,Choi Sangbum²^ORCID,Kang Sangwook¹³^ORCID

Affiliation:

1. Department of Applied Statistics, Yonsei University, Seoul, Republic of Korea

2. Department of Statistics, Korea University, Seoul, Republic of Korea

3. Department of Statistics and Data Science, Yonsei University, Seoul, Republic of Korea

Funder

National Research Foundation of Korea

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2022.2134376

Reference34 articles.

1. A case-cohort design for epidemiologic cohort studies and disease prevention trials

2. Additive hazards regression for case-cohort studies

3. Semiparametric Accelerated Failure Time Modeling for Clustered Failure Times From Stratified Sampling

4. Treatment of Wilms' tumor. Results of the third national Wilms' tumor study

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1. Interval-Censored Linear Quantile Regression;Journal of Computational and Graphical Statistics;2024-08-23

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