Cure models with exponentiated Weibull exponential distribution for the analysis of melanoma patients
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 t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Multidisciplinary Digital Publishing Institute
2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/88325/ http://psasir.upm.edu.my/id/eprint/88325/1/ABSTRACT.pdf |
| _version_ | 1848860598199123968 |
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| author | Mohamed Elamin Omer, Mohamed Elamin Abdallah Abu Bakar, Mohd Rizam Adam, Mohd Bakri Mustafa, Mohd Shafie |
| author_facet | Mohamed Elamin Omer, Mohamed Elamin Abdallah Abu Bakar, Mohd Rizam Adam, Mohd Bakri Mustafa, Mohd Shafie |
| author_sort | Mohamed Elamin Omer, Mohamed Elamin Abdallah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T12:47:47Z |
| format | Article |
| id | upm-88325 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:47:47Z |
| publishDate | 2020 |
| publisher | Multidisciplinary Digital Publishing Institute |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-883252021-12-29T01:22:47Z http://psasir.upm.edu.my/id/eprint/88325/ Cure models with exponentiated Weibull exponential distribution for the analysis of melanoma patients Mohamed Elamin Omer, Mohamed Elamin Abdallah Abu Bakar, Mohd Rizam Adam, Mohd Bakri Mustafa, Mohd Shafie 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. Multidisciplinary Digital Publishing Institute 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/88325/1/ABSTRACT.pdf Mohamed Elamin Omer, Mohamed Elamin Abdallah and Abu Bakar, Mohd Rizam and Adam, Mohd Bakri and Mustafa, Mohd Shafie (2020) Cure models with exponentiated Weibull exponential distribution for the analysis of melanoma patients. Mathematics, 8 (11). pp. 1-15. ISSN 2227-7390 https://www.mdpi.com/2227-7390/8/11/1926 10.3390/math8111926 |
| spellingShingle | Mohamed Elamin Omer, Mohamed Elamin Abdallah Abu Bakar, Mohd Rizam Adam, Mohd Bakri Mustafa, Mohd Shafie Cure models with exponentiated Weibull exponential distribution for the analysis of melanoma patients |
| title | Cure models with exponentiated Weibull exponential distribution for the analysis of melanoma patients |
| title_full | Cure models with exponentiated Weibull exponential distribution for the analysis of melanoma patients |
| title_fullStr | Cure models with exponentiated Weibull exponential distribution for the analysis of melanoma patients |
| title_full_unstemmed | Cure models with exponentiated Weibull exponential distribution for the analysis of melanoma patients |
| title_short | Cure models with exponentiated Weibull exponential distribution for the analysis of melanoma patients |
| title_sort | cure models with exponentiated weibull exponential distribution for the analysis of melanoma patients |
| url | http://psasir.upm.edu.my/id/eprint/88325/ http://psasir.upm.edu.my/id/eprint/88325/ http://psasir.upm.edu.my/id/eprint/88325/ http://psasir.upm.edu.my/id/eprint/88325/1/ABSTRACT.pdf |