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在总结竞争风险失效时间数据时，使用Kaplan-Meier法、边际概率曲线还是条件概率曲线？

Kaplan-Meier, marginal or conditional probability curves in summarizing competing risks failure time data?

作者信息

Pepe M S, Mori M

机构信息

Fred Hutchinson Cancer Research Center, Seattle, Washington 98104.

出版信息

Stat Med. 1993 Apr 30;12(8):737-51. doi: 10.1002/sim.4780120803.

DOI:10.1002/sim.4780120803
PMID:8516591
Abstract

In the context of competing risks the Kaplan-Meier estimator is often unsuitable for summarizing failure time data. We discuss some alternative descriptive methods including marginal probability and conditional probability estimators. Two-sample test statistics are also presented.

摘要

在竞争风险的背景下，Kaplan-Meier估计量通常不适用于总结失效时间数据。我们讨论了一些替代的描述性方法，包括边际概率和条件概率估计量。还给出了双样本检验统计量。

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