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

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.

Authors

Publication Details

Journal
Mikailalsys Journal of Mathematics and Statistics
Published
2024-09-17
DOI
https://doi.org/10.58578/mjms.v2i3.3840
Primary Topic
Statistical Methods and Inference
Type
article
Field-Weighted Citation Impact
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article

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

O. D. Adubisi, Ahmed Abdulkadir, Risanwuo Madaki
Mikailalsys Journal of Mathematics and Statistics
Statistical Methods and Inference
article

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

O. D. Adubisi, Ahmed Abdulkadir, Risanwuo Madaki
article en

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.

Mikailalsys Journal of Mathematics and StatisticsVol. 2(3)
Good health and well-being
Openalex Percentile: Top 84%
Statistical Methods and Inference
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