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Estimation in the Cox proportional hazards model with doubly censored and truncated data

机译:带有双重删减数据的Cox比例风险模型的估计

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摘要

In longitudinal studies, the proportional hazard model is often used to analyse covariate effects on the duration time, defined as the elapsed time between the first and second event. In this article, we consider the situation when the first event suffers partly interval-censoring and the second event suffers left-truncation and right-censoring. We proposed a two-step estimation procedure for estimating the regression coefficients of the proportional model. A simulation study is conducted to investigate the performance of the proposed estimator.
机译:在纵向研究中,比例风险模型通常用于分析持续时间的协变量影响,持续时间定义为第一事件和第二事件之间的经过时间。在本文中,我们将考虑第一个事件部分受到间隔审查而第二个事件受到左截断和右审查的情况。我们提出了两步估计程序来估计比例模型的回归系数。进行了仿真研究,以研究所提出的估计器的性能。

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