从已发表的卡普兰-迈耶曲线重建事件发生时间数据。
Reconstructing time-to-event data from published Kaplan-Meier curves.
作者信息
Wei Yinghui, Royston Patrick
机构信息
Centre for Mathematical Sciences, School of Computing, Electronics, and Mathematics, Plymouth University, Plymouth, UK.
MRC Clinical Trials Unit, University College London, London, UK.
出版信息
Stata J. 2017 Oct;17(4):786-802.
Abstract
Hazard ratios can be approximated by data extracted from published Kaplan-Meier curves. Recently, this curve approach has been extended beyond hazard-ratio approximation with the capability of constructing time-to-event data at the individual level. In this article, we introduce a command, ipdfc, to implement the reconstruction method to convert Kaplan-Meier curves to time-to-event data. We give examples to illustrate how to use the command.
摘要
风险比可以通过从已发表的Kaplan-Meier曲线中提取的数据来近似估计。最近，这种曲线方法已不仅限于风险比近似，还具备在个体层面构建事件发生时间数据的能力。在本文中，我们介绍了一个命令ipdfc，用于实现将Kaplan-Meier曲线转换为事件发生时间数据的重建方法。我们给出示例来说明如何使用该命令。
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