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A resampling-based test for two crossing survival curves

机译:基于重采样的测试测试,适用于两个交叉生存曲线

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The area between two survival curves is an intuitive test statistic for the classical two-sample testing problem. We propose a bootstrap version of it for assessing the overall homogeneity of these curves. Our approach allows ties in the data as well as independent right censoring, which may differ between the groups. The asymptotic distribution of the test statistic as well as of its bootstrap counterpart are derived under the null hypothesis, and their consistency is proven for general alternatives. We demonstrate the finite sample superiority of the proposed test over some existing methods in a simulation study and illustrate its application by a real-data example.
机译:对于经典的两样本测试问题,两条生存曲线之间的面积是一个直观的测试统计量。我们提出了一个自举版本,用于评估这些曲线的整体同质性。我们的方法允许在数据中建立联系,以及独立的权利审查,这在不同的群体中可能有所不同。在零假设下,导出了检验统计量及其bootstrap对应统计量的渐近分布,并证明了它们对于一般方案的一致性。在仿真研究中,我们证明了所提出的测试方法比现有的一些方法具有有限样本的优越性,并通过一个实际数据例子说明了它的应用。

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