Robustifying Cox - Regression Model Estimation Using M - estimators with application to breast cancer patients

Section: Research Paper
Issue
Vol. 20 No. 2 (2023): Volume 20 Issue 2
Published
Jun 25, 2025
Pages
166-174

Abstract

This paper focused on estimating the survival time of real data for breast cancer patients in Nineveh province for the period between 2007- 2013. Robust estimation formulas were proposed and dealt with the Cox regression model in survival analysis. Determine the degree of hazard faced by women infected with this disease. Where it was proposed to use some Robust weights, and some classical variance estimators were replaced with Robust estimators to get an efficient estimation of the model, and also the suggestion of Robust weight functions. The Huber weight function was the best and was applied with the three templates to get the best model for the person of the variables that influence the occurrence of the event.

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Authors

Bashar Abd Al-Aziz Al-Talib

Department of Statistics and Informatics, College of Computer Science and Mathematics, University of Mosul, Mosul, Iraq

ORCID
Salwa Salah Aldean Qassim Haidari

Department of Statistics and Informatics, College of Computer Science and Mathematics, University of Mosul, Mosul, Iraq

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How to Cite

Abd Al-Aziz Al-Talib, B., سلوى, Salah Aldean Qassim Haidari, S., & بشار. (2025). Robustifying Cox - Regression Model Estimation Using M - estimators with application to breast cancer patients. IRAQI JOURNAL OF STATISTICAL SCIENCES, 20(2), 166–174. Retrieved from https://rjps.uomosul.edu.iq/index.php/stats/article/view/20647