An omnibus CUSUM chart for monitoring time to event data

被引：0
作者：
Ioannis Phinikettos
Axel Gandy
机构：
[1] Imperial College London,Department of Mathematics
来源：
Lifetime Data Analysis | 2014年 / 20卷
关键词：
Omnibus; CUSUM; Control chart; Kolmogorov–Smirnov;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A non-parametric method is proposed for monitoring time-to-event data. A cumulative sum chart is constructed that is able to detect an unknown out-of-control state. This method exploits the absolute differences between the Kaplan–Meier estimator and the in-control distribution over specific time intervals. The efficiency of the algorithm is studied via a simulation and a real data study. The new method is also tested via the simulation study against existing methods.
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收藏
页码：481 / 494
页数：13
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