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Estimation of the Bivariate Cause-Specific Distribution Function with Left-Truncated Competing Risks Data

机译:用左截断竞争风险数据估计因变量的二元分布

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摘要

In this article, we consider estimating the bivariate cause-specific distribution function when both components are subject to left truncation and right censoring. Based on the estimators proposed by Shen and Van (2008), we propose two types of estimators as the extension of Sankaran et al. (2006). The asymptotical properties of the proposed estimators are established. A simulation study is conducted to investigate the performance of the proposed estimators.
机译:在本文中,我们考虑在两个分量都受到左截断和右删失的情况下估计特定于二元原因的分布函数。基于Shen和Van(2008)提出的估计量,我们提出了两种类型的估计量作为Sankaran等人的扩展。 (2006)。建立了拟议估计量的渐近性质。进行了仿真研究,以研究所提出估计量的性能。

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