A Comparative Study of Survival approaches for Breast Cancer Patients

Karim Atashgar; Ayeh Sheikhaliyan; Mina Tajvidi; Akbar Biglariyan; Seyed Hadi Molana; Elnaz Badrkhani Sheikhdarabadi; Masoumeh Tabrizi bahemmat

doi:doi:10.11648/j.engmath.20180202.11

A Comparative Study of Survival approaches for Breast Cancer Patients

Karim Atashgar, Ayeh Sheikhaliyan, Mina Tajvidi, Akbar Biglariyan, Seyed Hadi Molana, Elnaz Badrkhani Sheikhdarabadi, Masoumeh Tabrizi bahemmat

Published in Engineering Mathematics (Volume 2, Issue 2)

Received: 28 September 2018 Accepted: 11 October 2018 Published: 5 November 2018

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Abstract

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.

Published in	Engineering Mathematics (Volume 2, Issue 2)
DOI	10.11648/j.engmath.20180202.11
Page(s)	56-62
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Survival Analysis, Breast Cancer, Cox Regression, Semi Parametric Model

References

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[16]	Abadi, A, Yavari P, Dehghani-Arani M, Alavi-Majd H, Ghasemi E, Amanpour F, Bajdik CH. Cox Models Survival Analysis Based on Breast Cancer Treatments. Iranian Journal of Cancer Prevention.2014, 7 (3): 124-129
[17]	Fallahzadeh, H, Momayyezi M, Akhundzardeini R, Zarezardeini S. Five year survival of women with breast cancer in Yazd. Asian Pacific Journal of Cancer Prevention.2014, 15: 6597-6601.
[18]	Baulies S, Belin L, Mallon P, Senechal C, Pierga J-Y, Cottu P, Sablin M-P, Sastre X, Asselain B, Rouzier R, Reyal F. Time-varying effect and long-term survival analysis in breast cancer patients treated with neoadjuvant chemotherapy. British Journal of Cancer. 2015, 113 (1): 30-36.
[19]	Cetin, K, Christiansen C. F, Svaerke C, Jacobsen J. B, Sorensen H. T. Survival in patients with breast cancer with bone metastasis: a Danish population-based cohort study on the prognostic impact of initial stage of disease at breast cancer diagnosis and length of the bone metastasis-free interval. BMJ Open.2015, 5 (4): 1-8.
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APA Style

Karim Atashgar, Ayeh Sheikhaliyan, Mina Tajvidi, Akbar Biglariyan, Seyed Hadi Molana, et al. (2018). A Comparative Study of Survival approaches for Breast Cancer Patients. Engineering Mathematics, 2(2), 56-62. https://doi.org/10.11648/j.engmath.20180202.11

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ACS Style

Karim Atashgar; Ayeh Sheikhaliyan; Mina Tajvidi; Akbar Biglariyan; Seyed Hadi Molana, et al. A Comparative Study of Survival approaches for Breast Cancer Patients. Eng. Math. 2018, 2(2), 56-62. doi: 10.11648/j.engmath.20180202.11

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AMA Style

Karim Atashgar, Ayeh Sheikhaliyan, Mina Tajvidi, Akbar Biglariyan, Seyed Hadi Molana, et al. A Comparative Study of Survival approaches for Breast Cancer Patients. Eng Math. 2018;2(2):56-62. doi: 10.11648/j.engmath.20180202.11

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@article{10.11648/j.engmath.20180202.11,
  author = {Karim Atashgar and Ayeh Sheikhaliyan and Mina Tajvidi and Akbar Biglariyan and Seyed Hadi Molana and Elnaz Badrkhani Sheikhdarabadi and Masoumeh Tabrizi bahemmat},
  title = {A Comparative Study of Survival approaches for Breast Cancer Patients},
  journal = {Engineering Mathematics},
  volume = {2},
  number = {2},
  pages = {56-62},
  doi = {10.11648/j.engmath.20180202.11},
  url = {https://doi.org/10.11648/j.engmath.20180202.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.engmath.20180202.11},
  abstract = {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.},
 year = {2018}
}

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TY  - JOUR
T1  - A Comparative Study of Survival approaches for Breast Cancer Patients
AU  - Karim Atashgar
AU  - Ayeh Sheikhaliyan
AU  - Mina Tajvidi
AU  - Akbar Biglariyan
AU  - Seyed Hadi Molana
AU  - Elnaz Badrkhani Sheikhdarabadi
AU  - Masoumeh Tabrizi bahemmat
Y1  - 2018/11/05
PY  - 2018
N1  - https://doi.org/10.11648/j.engmath.20180202.11
DO  - 10.11648/j.engmath.20180202.11
T2  - Engineering Mathematics
JF  - Engineering Mathematics
JO  - Engineering Mathematics
SP  - 56
EP  - 62
PB  - Science Publishing Group
SN  - 2640-088X
UR  - https://doi.org/10.11648/j.engmath.20180202.11
AB  - 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.
VL  - 2
IS  - 2
ER  -

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Author Information

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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APA Style

Karim Atashgar, Ayeh Sheikhaliyan, Mina Tajvidi, Akbar Biglariyan, Seyed Hadi Molana, et al. (2018). A Comparative Study of Survival approaches for Breast Cancer Patients. Engineering Mathematics, 2(2), 56-62. https://doi.org/10.11648/j.engmath.20180202.11

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ACS Style

Karim Atashgar; Ayeh Sheikhaliyan; Mina Tajvidi; Akbar Biglariyan; Seyed Hadi Molana, et al. A Comparative Study of Survival approaches for Breast Cancer Patients. Eng. Math. 2018, 2(2), 56-62. doi: 10.11648/j.engmath.20180202.11

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AMA Style

Karim Atashgar, Ayeh Sheikhaliyan, Mina Tajvidi, Akbar Biglariyan, Seyed Hadi Molana, et al. A Comparative Study of Survival approaches for Breast Cancer Patients. Eng Math. 2018;2(2):56-62. doi: 10.11648/j.engmath.20180202.11

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@article{10.11648/j.engmath.20180202.11,
  author = {Karim Atashgar and Ayeh Sheikhaliyan and Mina Tajvidi and Akbar Biglariyan and Seyed Hadi Molana and Elnaz Badrkhani Sheikhdarabadi and Masoumeh Tabrizi bahemmat},
  title = {A Comparative Study of Survival approaches for Breast Cancer Patients},
  journal = {Engineering Mathematics},
  volume = {2},
  number = {2},
  pages = {56-62},
  doi = {10.11648/j.engmath.20180202.11},
  url = {https://doi.org/10.11648/j.engmath.20180202.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.engmath.20180202.11},
  abstract = {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.},
 year = {2018}
}

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TY  - JOUR
T1  - A Comparative Study of Survival approaches for Breast Cancer Patients
AU  - Karim Atashgar
AU  - Ayeh Sheikhaliyan
AU  - Mina Tajvidi
AU  - Akbar Biglariyan
AU  - Seyed Hadi Molana
AU  - Elnaz Badrkhani Sheikhdarabadi
AU  - Masoumeh Tabrizi bahemmat
Y1  - 2018/11/05
PY  - 2018
N1  - https://doi.org/10.11648/j.engmath.20180202.11
DO  - 10.11648/j.engmath.20180202.11
T2  - Engineering Mathematics
JF  - Engineering Mathematics
JO  - Engineering Mathematics
SP  - 56
EP  - 62
PB  - Science Publishing Group
SN  - 2640-088X
UR  - https://doi.org/10.11648/j.engmath.20180202.11
AB  - 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.
VL  - 2
IS  - 2
ER  -

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