论文标题
r包裹的统计分析二合一数据的统计分析：审核
R packages for the statistical analysis of doubly truncated data: a review
论文作者
论文摘要
随机双截断是指仅在两个随机限制范围内观察到感兴趣的变量的情况。这种现象发生在许多其他领域的生存分析和流行病学的许多应用中。存在几个R软件包来分析双重截断的数据，例如实现累积分布的估计量，竞争风险的累积发生率或COX模型中的回归系数。在本文中，审查了这些软件包的主要功能。通过模拟和真实数据的分析来说明库的相对优点。这包括研究实施技术及其计算速度的统计准确性。给出了实用的建议。
Random double truncation refers a situation in which the variable of interest is observed only when it falls within two random limits. Such phenomenon occurs in many applications of Survival Analysis and Epidemiology, among many other fields. There exist several R packages to analyze doubly truncated data which implement, for instance, estimators for the cumulative distribution, the cumulative incidences of competing risks, or the regression coefficients in the Cox model. In this paper the main features of these packages are reviewed. The relative merits of the libraries are illustrated through the analysis of simulated and real data. This includes the study of the statistical accuracy of the implemented techniques as well as of their computational speed. Practical recommendations are given.
