Citation
Abstract
In the survival data analysis, commonly, it is presumed that all study subjects will eventually have the event of concern. Nonetheless, it tends to be unequivocally expected that a fraction of these subjects will never expose to the event of interest. The cure rate models are usually used to model this type of data. In this paper, we introduced a maximum likelihood estimates analysis for the four-parameter exponentiated Weibull exponential (EWE) distribution in the existence of cured subjects, censored observations, and predictors. Aiming to include the fraction of unsusceptible (cured) individuals in the analysis, a mixture cure model, and two non-mixture cure models—bounded cumulative hazard model, and geometric non-mixture model with EWE distribution—are proposed. The mixture cure model provides a better fit to real data from a Melanoma clinical trial compared to the other two non-mixture cure models.
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Official URL or Download Paper: https://www.mdpi.com/2227-7390/8/11/1926
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Science Institute for Mathematical Research |
DOI Number: | https://doi.org/10.3390/math8111926 |
Publisher: | Multidisciplinary Digital Publishing Institute |
Keywords: | Survival analysis; Cure fraction models; Exponentiated Weibull exponential distribution; Maximum likelihood method; Right-censored data |
Depositing User: | Ms. Nuraida Ibrahim |
Date Deposited: | 29 Dec 2021 01:22 |
Last Modified: | 29 Dec 2021 01:22 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/math8111926 |
URI: | http://psasir.upm.edu.my/id/eprint/88325 |
Statistic Details: | View Download Statistic |
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