生存分析中加速失效时间模型的对数指数功率分布及其应用

A. Olosunde, Chidimma Ejiofor
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引用次数: 1

摘要

我们提出对数指数功率密度函数作为加速失效时间模型(AFT)的基线分布,用于分析带有协变量的生存数据。由于尾部区域的灵活性,该模型推广了对数正态和一些指数族。它具有对数凹性,能够容纳危险函数的四种基本形状,这是其他分布无法容纳的特征之一。该模型相对于一些现有模型的拟合优度是使用来自Ile-Ife的Obafemi Awolowo大学教学医院监测的慢性肝病患者的数据进行测试的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Log-Exponential Power Distribution for Accelerated Failure Time Model in Survival Analysis and Its Application
We proposed the log-exponential power density function as baseline distribution for accelerated failure time model (AFT) used in analysis of survival data with covariates. This model generalizes the log-normal and some exponential family due to flexibility at the tail region. It has log-concavity property, accommodates the four basic shapes of hazard function which is an attractive property compared with other distributions that cannot accommodate same. The model's goodness of fit relative to some existing models was tested using data from chronic liver disease patients monitored at Obafemi Awolowo University Teaching Hospital, Ile-Ife
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