Novel Extended Weibull Regression Model for Investigating the Survival Times of Breast Cancer Patients

Page Numbers: 135-155
Published: 2024-09-17
Digital Object Identifier: 10.58578/mjms.v2i3.3840
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  • Ahmed Abdulkadir Abubakar Tafawa Balewa University, Nigeria
  • Obinna Damian Adubisi Federal University Wukari, Taraba State, Nigeria
  • R. M. Madaki Abubakar Tafawa Balewa University, Nigeria

Abstract

The new five-parameter alpha power generalized odd generalized exponentiated Weibull distribution is introduced, and some of its structural properties are derived. Its parameters are estimated by maximum likelihood, and a simulation study examines the accuracy of the estimates. A regression model is constructed based on the logarithm of the proposed distribution to investigate the survival times of breast cancer patients in Bauchi State, Nigeria. The applicability and flexibility of the novel model is proven by means of cancer dataset.

Keywords: Alpha-power transformation; Breast cancer; Censored data; Maximum likelihood; Regression model
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Abdulkadir, A., Adubisi, O., & Madaki, R. (2024). Novel Extended Weibull Regression Model for Investigating the Survival Times of Breast Cancer Patients. Mikailalsys Journal of Mathematics and Statistics, 2(3), 135-155. https://doi.org/10.58578/mjms.v2i3.3840

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