On the use of the accelerated failure time model as an alternative to the proportional hazards model in the treatment of time to event data: A case study in influenza
On the use of the accelerated failure time model as an alternative to the proportional hazards model in the treatment of time to event data: A case study in influenza
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DOI：
10.1177/009286150203600312
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发表时间：
2002-07-01
影响因子：
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通讯作者：
Kinnersley, N
中科院分区：
文献类型：
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作者：
Kay, R;Kinnersley, N
加速失效时间模型作为一种替代的比例风险模型在分析的时间到事件的数据。一个关于流感症状消退时间的病例研究是。用于说明这些考虑因素。比例风险模型显示出显着的拟合不足，而加速失效时间模型很好地描述了数据。从临床的角度来看，加速故障时间模型在这个和其他应用程序被认为是一个更合适的建模框架，并具有更容易解释的额外优势。它的结论是，加速失效时间模型应被认为是一种替代比例风险模型的时间到事件数据的分析，特别是在应用程序中的治疗效果是加速（或延迟）的关注事件，没有永久性的影响，在随访期间的背景下。
The accelerated failure time model is presented as an alternative to the proportional hazards model in the analysis of time to event data. A case study in influenza looking at the time to resolution of influenza symptoms is. used to illustrate these considerations. The proportional hazards model displays significant lack of fit while the accelerated failure time model describes the data well. From a clinical perspective the accelerated failure time model in this and other applications is seen to be a more appropriate modeling framework and has the added advantage of being easier to interpret. It is concluded that the accelerated failure time model should be considered as an alternative to the proportional hazards model in the analysis of time to event data, especially in applications where the effects of treatment are to accelerate (or delay) the event of interest with no permanent effect in the context of the follow-up period.