Enayat Mohammed Abdel Razik
Asst. Professor
The accelerated failure time regression model under the extended-exponential distribution with survival analysis
• 2024
Publication Information
Authors
Veronica Kariuki1,*, Anthony Wanjoya2
, Oscar Ngesa3
, Mahmoud M. Mansour4,5
, Enayat M.
Abd Elrazik4,5 and Ahmed Z. Afify5
Keywords
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Pages
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publication.type
International
Paper Link
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Supplementary Materials
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Abstract
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.