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A Comparison of Semi-Parametric and Nonparametric Methods for Estimating Mean Time to Event for Randomly Left Censored Data

机译:估计随机左删失数据的平均事件发生时间的半参数和非参数方法的比较

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摘要

The aim of this study was to make a comparison among existing estimation methods (Kaplan-Meier, Nelson-Aalen and Regression on Ordered Statistics (ROS)) for randomly left censored time to event data under selected distributions and for different level of censoring and sample sizes in order to determine the strength of these methods based on simulated data. Comparisons among the methods are made on the basis of unbiasedness and Monte Carlo Standard Error of the summary statistics (mean time to event) obtained by those methods under different conditions.
机译:这项研究的目的是比较现有估计方法(Kaplan-Meier,Nelson-Aalen和有序统计回归(ROS))在选定分布下针对事件数据的随机左删失时间以及针对不同级别的删失和样本的估计方法大小,以便根据模拟数据确定这些方法的强度。这些方法之间的比较是基于这些方法在不同条件下获得的摘要统计量(事件发生的平均时间)的无偏度和蒙特卡洛标准误差进行的。

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