Understanding survival analysis: actuarial life tables and the Kaplan-Meier plot
Understanding survival analysis: actuarial life tables and the Kaplan-Meier plot
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DOI：
10.12968/hmed.2019.80.11.642
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发表时间：
2019-11-01
影响因子：
0.9
通讯作者：
Rogers, Benedict A.
中科院分区：
文献类型：
--
作者：
Barakat, Ahmed;Mittal, Aaina;Rogers, Benedict A.
生存分析是一组用于研究从研究入组到关注事件发生之间的时间的方法。通常使用两种方法：精算寿命表和Kaplan-Meier方法进行生存分析。在阅读和评价有关预后和干预研究的文献时，充分了解这两种方法非常有用。Kaplan-Meier曲线被广泛使用，因为它们可以分析不完整的数据集（即患者退出研究或失访后）。这篇评论解释了这两种方法，并给出了它们的使用实例。
Survival analysis is a set of methods used to study the time between enrollment in a study and the occurrence of an event of interest. Two methods are commonly used: actuarial life tables and the Kaplan-Meier approach for survival analysis. A good understanding of both these methods is useful when reading and appraising the literature concerning prognostic and interventional studies. Kaplan-Meier curves are widely used as they enable analysis of incomplete sets of data (i.e. after patients withdraw from studies or are lost to follow up). This review explains these two methods and gives practical examples of their use.