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Estimation for an accelerated failure time model with intermediate states as auxiliary information.
Lifetime Data Analysis ( IF 1.3 ) Pub Date : 2018-11-01 , DOI: 10.1007/s10985-018-9452-5
Ritesh Ramchandani 1 , Dianne M Finkelstein 2 , David A Schoenfeld 2
Affiliation  

The accelerated failure time (AFT) model is a common method for estimating the effect of a covariate directly on a patient’s survival time. In some cases, death is the final (absorbing) state of a progressive multi-state process, however when the survival time for a subject is censored, traditional AFT models ignore the intermediate information from the subject’s most recent disease state despite its relevance to the mortality process. We propose a method to estimate an AFT model for survival time to the absorbing state that uses the additional data on intermediate state transition times as auxiliary information when a patient is right censored. The method extends the Gehan AFT estimating equation by conditioning on each patient’s censoring time and their disease state at their censoring time. With simulation studies, we demonstrate that the estimator is empirically unbiased, and can improve efficiency over commonly used estimators that ignore the intermediate states.

中文翻译:

以中间状态为辅助信息的加速故障时间模型的估计。

加速失败时间(AFT)模型是直接评估协变量对患者生存时间的影响的常用方法。在某些情况下,死亡是渐进性多状态过程的最终(吸收)状态,但是,当检查对象的生存时间时,传统的AFT模型会忽略来自对象最新疾病状态的中间信息,尽管与疾病的相关性死亡过程。我们提出了一种估计到吸收状态的生存时间的AFT模型的方法,该方法使用对中间状态转换时间的附加数据作为对患者进行正确审查时的辅助信息。该方法通过限制每个患者的审查时间和他们在审查时的疾病状态来扩展Gehan AFT估计方程。通过模拟研究,
更新日期:2018-11-01
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