The accelerated failure time regression model under the extended-exponential distribution with survival analysis

被引:0
|
作者
Kariuki, Veronica [1 ]
Wanjoya, Anthony [2 ]
Ngesa, Oscar [3 ]
Mansour, Mahmoud M. [4 ,5 ]
Elrazik, Enayat M. Abd [4 ,5 ]
Afify, Ahmed Z. [5 ]
机构
[1] Pan African Univ, Dept Math, Inst Basic Sci Technol & Innovat, Nairobi 00200, Kenya
[2] Jomo Kenyatta Univ Agr & Technol, Dept Stat & Actuarial Sci, Nairobi 00200, Kenya
[3] Taita Taveta Univ, Dept Math Stat & Phys Sci, Voi 80300, Kenya
[4] Taibah Univ, Dept Management Informat Syst, Yanbu 46422, Saudi Arabia
[5] Benha Univ, Dept Stat Math & Insurance, Banha 13511, Egypt
来源
AIMS MATHEMATICS | 2024年 / 9卷 / 06期
关键词
censored survival data; exponential distribution; survival regression model; hazard rate; maximum likelihood estimation; simulation; FAMILY; LIFE;
D O I
10.3934/math.2024754
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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.
引用
收藏
页码:15610 / 15638
页数:29
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