Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Nephrol Dial Transplant. 2011 Jan;26(1):56-61. doi: 10.1093/ndt/gfq661. Epub 2010 Nov 8.
Kaplan-Meier analysis is a popular method used for analysing time-to-event data. In case of competing event analyses such as that of cardiovascular and non-cardiovascular mortality, however, the Kaplan-Meier method profoundly overestimates the cumulative mortality probabilities for each of the separate causes of death. This article provides an introduction to the problem of competing events in Kaplan-Meier analysis. It explains cumulative incidence competing risk analysis and demonstrates on a cohort of elderly dialysis patients that, in contrast to the Kaplan-Meier method, application of this method yields unbiased estimates of the cumulative probabilities for cause-specific mortality.
Kaplan-Meier 分析是一种常用于分析时间事件数据的流行方法。然而，在竞争事件分析中，例如心血管和非心血管死亡率的分析，Kaplan-Meier 方法会严重高估每个单独死亡原因的累积死亡率概率。本文介绍了 Kaplan-Meier 分析中竞争事件的问题。它解释了累积发生率竞争风险分析，并在老年透析患者队列上进行了演示，与 Kaplan-Meier 方法相比，应用该方法可以对特定原因死亡率的累积概率进行无偏估计。
