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Variance Estimation of a Survival Function with Doubly Censored Failure Time Data

机译:使用双缩复失效时间数据的生存函数的方差估计

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Doubly censored failure time data often occur in epidemiological or disease progression studies. In this situation, several authors have investigated the problem of estimating a survival function and proposed methods for the problem. However, there appears to be no existing research studying variance estimation of an estimated survival function. This chapter discusses pointwise estimation of variances of an estimated survival function and several methods are presented. The evaluation and comparison of the methods are conducted using numerical studies and a set of real doubly censored failure time data. The results suggest that the proposed methods work well under practical situations.
机译:双重审查的失效时间数据经常发生流行病学或疾病进展研究。在这种情况下,若干作者已经调查了估计生存函数和提出的问题方法的问题。然而,似乎没有现有的研究研究估计的生存函数的方差估计。本章讨论估计的生存函数的差异的点估计,并提出了几种方法。使用数值研究进行该方法的评估和比较,并进行一组实际呼出的故障时间数据进行。结果表明,所提出的方法在实际情况下工作良好。

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