A Comparative Study of Survival approaches for Breast Cancer Patients
Engineering Mathematics
Volume 2, Issue 2, December 2018, Pages: 56-62
Received: Sep. 28, 2018; Accepted: Oct. 11, 2018; Published: Nov. 5, 2018
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Karim Atashgar, Department of Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran
Ayeh Sheikhaliyan, Department of Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran
Mina Tajvidi, Radiotherapy and Oncology Specialist, Isfahan University of Medical Science, Isfahan, Iran
Akbar Biglariyan, Department of Biostatistics, Sciences University of Social Welfare & Rehabilitation Sciences, Tehran, Iran
Seyed Hadi Molana, Radiotherapy and Oncology Specialist, Iran University of Medical Sciences, Tehran, Iran
Elnaz Badrkhani Sheikhdarabadi, Department of Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran
Masoumeh Tabrizi bahemmat, Department of Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran
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A survival analysis model leads one to analyze main factors which impact a patient’s therapy process. In practice a survival analysis is capable of affecting therapeutic protocols. Different methods have been approached to analyze the survival of a breast cancer patient by researchers. The objective of this research is to lead specialists analyzing the breast cancer patients effectively. This research by analyzing 2010 breast cancer patients 1) attempts to propose six different statistical models using parametric and semi-parametric approaches for survival analysis of breast cancer patients, 2) compares the performance capabilities of the proposed statistical models analytically, and 3) addresses the most superior approach for a survival analysis of a breast cancer. To analyze the capability of the six proposed models Akaike term is used. This comprehensive research also indicates that the hazard factors commonly proposed in literature are not capable of leading a specialist to analyze the survival completely. Although it is possible to model the breast cancer survival using different approaches, this research reveals the proposed semi parametric model is capable of providing the most superior condition. The capability of the best parametric model among the five proposed parametric models of this comprehensive research is also addressed. Kaplan-Meier diagram is used to analyze the importance of two new hazard factors proposed in this paper.
Survival Analysis, Breast Cancer, Cox Regression, Semi Parametric Model
To cite this article
Karim Atashgar, Ayeh Sheikhaliyan, Mina Tajvidi, Akbar Biglariyan, Seyed Hadi Molana, Elnaz Badrkhani Sheikhdarabadi, Masoumeh Tabrizi bahemmat, A Comparative Study of Survival approaches for Breast Cancer Patients, Engineering Mathematics. Vol. 2, No. 2, 2018, pp. 56-62. doi: 10.11648/j.engmath.20180202.11
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