THE ACCELERATED FAILURE TIME MODEL - A USEFUL ALTERNATIVE TO THE COX REGRESSION-MODEL IN SURVIVAL ANALYSIS
THE ACCELERATED FAILURE TIME MODEL - A USEFUL ALTERNATIVE TO THE COX REGRESSION-MODEL IN SURVIVAL ANALYSIS
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DOI：
10.1002/sim.4780111409
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发表时间：
1992-10-01
影响因子：
2
通讯作者：
WEI, LJ
中科院分区：
文献类型：
--
作者：
WEI, LJ
在过去的二十年中，考克斯比例风险模型已被广泛用于检查故障时间变量的风险函数的协变量的影响。另一方面，加速失效时间模型，简单地回归对数的生存时间的协变量，很少被用于分析删失生存数据。在这篇文章中，我们回顾了一些新发展的线性回归方法分析故障时间的观测。这些程序有良好的理论依据，并可以实现一个有效的数值方法。加速失效时间模型具有直观的物理解释，在生存分析中可替代考克斯模型。
For the past two decades the Cox proportional hazards model has been used extensively to examine the covariate effects on the hazard function for the failure time variable. On the other hand, the accelerated failure time model, which simply regresses the logarithm of the survival time over the covariates, has seldom been utilized in the analysis of censored survival data. In this article, we review some newly developed linear regression methods for analysing failure time observations. These procedures have sound theoretical justification and can be implemented with an efficient numerical method. The accelerated failure time model has an intuitive physical interpretation and would be a useful alternative to the Cox model in survival analysis.