1 Department of Civil, Environmental and Architectural Engineering, Università di Padova, Italy.
2 Department of Mathematical Sciences, Politecnico di Torino, Italy.
Stat Methods Med Res. 2018 Dec;27(12):3739-3769. doi: 10.1177/0962280217710836. Epub 2017 Jun 28.
This paper looks at permutation methods used to deal with hypothesis testing within the survival analysis framework. In the literature, several attempts have been made to deal with the comparison of survival curves and, depending on the survival and hazard functions of two groups, they can be more or less efficient in detecting differences. Furthermore, in some situations, censoring can be informative in that it depends on treatment effect. Our proposal is based on the nonparametric combination approach and has proven to be very effective under different configurations of survival and hazard functions. It allows the practitioner to test jointly on primary and censoring events and, by using multiple testing methods, to assess the significance of the treatment effect separately on the survival and the censoring process.
本文探讨了在生存分析框架内用于处理假设检验的排列方法。在文献中，已经有几种尝试用于处理生存曲线的比较，并且根据两组的生存和风险函数，它们在检测差异方面的效率可能更高或更低。此外，在某些情况下，删失可以提供信息，因为它取决于治疗效果。我们的建议基于非参数组合方法，并且在不同的生存和风险函数配置下都被证明非常有效。它允许从业者在主要事件和删失事件上进行联合检验，并通过使用多种检验方法，分别评估生存和删失过程中治疗效果的显著性。
