In the field of survival analysis, there is a model besides proportional hazard function model, called the accelerated failure time model ( AFT ). 在生存分析领域,除比例风险回归模型外,还有一类模型与之并列,叫做加速失效时间(AFT)模型(acceleratedfailuretimemodel,简称为AFT模型)。
Although the classical Cox model may be not appropriate, the accelerated failure time model can fit survival data well enough. 通过比较论证,表明无论Cox模型适用于否,加速失效时间(AFT)模型都能对数据做出很好的分析。
There are two most popular models in this area : proportional hazards model ( Cox model, PHD model ) and the accelerated failure time model ( AFT model ), they have their own advantage, disadvantage and the proper situation respectively. 在这一方面,国际上当今最流行的有两大类模型:Cox比例风险回归模型和加速失效时间(AFT)模型。它们各有自己的优缺点和适用范围。
In survival analysis, accelerated failure time ( AFT ) model is considered as ade facto standard and fundamental model for data analysis. This study made the following two aspects : 1. 在生存性状分析领域里,加速失效时间(AFT)模型被认为是用于分析数据的一个非常重要模型。
Objective : To study accelerated failure - time model and its application in medical research. 目的:探讨加速失效时间(AFT)模型及其在医学研究中的应用。