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Estimation of the joint survival function for three successive duration times under double truncation and right censoring

机译:双截断和右删失下连续三个连续时间的联合生存函数估计

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In incident cohort studies, it is common to include subjects who have experienced a certain event within a calendar time window. For all the included individuals, the time of the previous events is retrospectively confirmed and the occurrence of subsequent events is observed during the follow-up periods. During the follow-up periods, subjects may undergo three successive events. Since the second/third duration process becomes observable only if the first/second event has occurred, the data is subject to double truncation and right censoring. We consider two cases: the case when the first event time is subject to double truncation and the case when the second event time is subject to double truncation. Using the inverse-probability-weighted approach, we propose nonparametric and semiparametric estimators for the estimation of the joint survival function of three successive duration times. We establish the asymptotic properties of the proposed estimators and conduct a simulation study to investigate the finite sample properties of the proposed estimators.
机译:在事件队列研究中,通常将经历过某个事件的受试者包括在日历时间窗口内。对于所有纳入的个体,回顾性地确定先前事件的时间,并在随访期间观察到后续事件的发生。在随访期间,受试者可能经历了三个连续事件。由于只有在发生第一事件/第二事件时才可以观察到第二/第三持续时间过程,因此数据会被双重截断和右删失。我们考虑两种情况:第一个事件时间经受双截断的情况和第二个事件时间经受双截断的情况。使用逆概率加权方法,我们提出了三个连续持续时间的联合生存函数的估计的非参数和半参数估计器。我们建立拟议估计量的渐近性质,并进行仿真研究,以研究拟定估计量的有限样本性质。

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