竞争风险下一次性器械试验的功效发散方法
Power divergence approach for one-shot device testing under competing risks
摘要：
大多数关于一次性器件的工作都假设器件故障只有一个可能的原因。然而，在实践中，通常情况下，所研究的产品可能会遇到各种可能的失效原因中的任何一种。稳健的估计和Wald型测试的情况下，一次性设备下的竞争风险。一个广泛的模拟研究说明了这些基于分歧的估计和测试程序的基础上，他们的鲁棒性。一个数据驱动的程序，提出了选择最佳估计的任何给定的数据集，然后应用到一个例子中的背景下，生存分析。
英文摘要：
Most work on one-shot devices assume that there is only one possible cause of device failure. However, in practice, it is often the case that the products under study can experience any one of various possible causes of failure. Robust estimators and Wald-type tests are developed here for the case of one-shot devices under competing risks. An extensive simulation study illustrates the robustness of these divergence-based estimators and test procedures based on them. A data-driven procedure is proposed for choosing the optimal estimator for any given data set which is then applied to an example in the context of survival analysis.
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