عنايات محمد عبد الرازق خليل
أستاذ مساعد
The accelerated failure time regression model under the extended-exponential distribution with survival analysis
• 2024
معلومات البحث
المؤلفون
Veronica Kariuki1,*, Anthony Wanjoya2
, Oscar Ngesa3
, Mahmoud M. Mansour4,5
, Enayat M.
Abd Elrazik4,5 and Ahmed Z. Afify5
الكلمات المفتاحية
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المجلة العلمية
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الناشر
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المجلد
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العدد
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الصفحات
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publication.type
International
رابط البحث
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المواد المرفقة
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الملخص
In this paper, we propose a parametric accelerated failure time (AFT) hazard-based
regression model with the extended alpha-power exponential (EAPE) baseline distribution. The
proposed model is called the extended alpha-power exponential-AFT (EAPE-AFT) regression model.
We show that the EAPE distribution is closed under the AFT model. The parameters of the proposed
EAPE-AFT model have been estimated by using the method of maximum likelihood estimation. An
extensive simulation study was also conducted to examine the performance of the estimates under
several scenarios based on the shapes of the baseline hazard function. Finally, real-life censored
survival data has been used to illustrate the applicability of the proposed model.
regression model with the extended alpha-power exponential (EAPE) baseline distribution. The
proposed model is called the extended alpha-power exponential-AFT (EAPE-AFT) regression model.
We show that the EAPE distribution is closed under the AFT model. The parameters of the proposed
EAPE-AFT model have been estimated by using the method of maximum likelihood estimation. An
extensive simulation study was also conducted to examine the performance of the estimates under
several scenarios based on the shapes of the baseline hazard function. Finally, real-life censored
survival data has been used to illustrate the applicability of the proposed model.