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Nonparametric predictive pairwise comparison with competing risks

机译：具有竞争风险的非参数预测成对比较

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摘要

In reliability, failure data often correspond to competing risks, where several failure modes can cause a unit to fail. This paper presents nonparametric predictive inference (NPI) for pairwise comparison with competing risks data, assuming that the failure modes are independent. These failure modes could be the same or different among the two groups, and these can be both observed and unobserved failure modes. NPI is a statistical approach based on few assumptions, with inferences strongly based on data and with uncertainty quantified via lower and upper probabilities. The focus is on the lower and upper probabilities for the event that the lifetime of a future unit from one group, say Y, is greater than the lifetime of a future unit from the second group, say X. The paper also shows how the two groups can be compared based on particular failure mode(s), and the comparison of the two groups when some of the competing risks are combined is discussed.
机译：在可靠性方面，故障数据通常对应于竞争风险，在这种情况下，几种故障模式可能会导致设备发生故障。本文提出了用于与竞争风险数据进行成对比较的非参数预测推理（NPI），假设故障模式是独立的。两组之间的这些故障模式可以相同或不同，并且可以观察到也可以观察不到。 NPI是一种基于少量假设的统计方法，其推断主要基于数据，不确定性通过上下概率进行量化。如果一组中的未来单元（例如Y）的寿命大于第二组中的未来单元（例如X）的寿命，则重点放在较低和较高的概率上。该论文还说明了两者如何可以根据特定的故障模式对不同的组进行比较，并讨论将某些竞争风险组合在一起时两组的比较。

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