COMPARATIVE ANALYSIS OF BREAST CANCER RELAPSE TIME: STATISTICAL MODELING ACROSS DIFFERENT TREATMENTS

Authors

  • Olivia Williams Department of Mathematics and Statistics, Victoria University of Wellington, Wellington, Newzeland

Keywords:

Breast Cancer, Relapse Time, Treatment Comparison

Abstract

Breast cancer remains a significant global health concern, and understanding the factors influencing relapse time is crucial for treatment planning and patient management. This study presents a comparative analysis of breast cancer relapse time across different treatments using statistical modeling techniques. Data from patients who underwent various treatment regimens were analyzed to identify factors associated with relapse time. Cox proportional hazards models were employed to assess the impact of treatment type, patient demographics, tumor characteristics, and other clinical variables on relapse time. The findings provide valuable insights into the effectiveness of different treatment modalities and their influence on breast cancer recurrence.

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Published

2014-07-03

How to Cite

Olivia Williams. (2014). COMPARATIVE ANALYSIS OF BREAST CANCER RELAPSE TIME: STATISTICAL MODELING ACROSS DIFFERENT TREATMENTS. Journal of Applied Science and Social Science, 4(02), 01–07. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/95

Issue

Vol. 4 No. 02 (2014): Volume 04 Issue 02

Section

Articles

License

Copyright (c) 2014 Olivia Williams

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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