An empirical comparison between gradient boosting methods and cox’s proportional hazards model for right-censored survival data-Reference-Cited by-同舟云学术

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An empirical comparison between gradient boosting methods and cox’s proportional hazards model for right-censored survival data

Published:2024-02-02 Issue: Volume: Page:1-15
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Li Peizhi¹²,Peng Yingwei³,Zheng Jianing⁴

Affiliation:

1. School of Finance, Dongbei University of Finance and Economics, Dalian, Liaoning, China

2. Department of Public Health Sciences, Queen’s University, Kingston, Ontario, Canada

3. Department of Public Health Sciences, Department of Mathematics and Statistics, Queen’s University, Kingston, Ontario, Canada

4. School of Statistics, Dongbei University of Finance and Economics, Dalian, Liaoning, China

Funder

National Social Science Fund of China

Scientific research fund project of the Liaoning Provincial Department of Education

Natural Sciences and Engineering Research Council of Canada

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2024.2306541

Reference21 articles.

1. Gradient boosting survival tree with applications in credit scoring

2. Contribution to the discussion of D. R. Cox;Breslow N. E.;Journal of the Royal Statistical Society, Series B,1972

3. A Gradient Boosting Algorithm for Survival Analysis via Direct Optimization of Concordance Index

4. Treatment for acute myelocytic leukemia with allogeneic bone marrow transplantation following preparation with BuCy2

5. Regression Models and Life-Tables

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