论文标题
通过置换测试推断一般阶乘设计中的中位生存差异
Inferring median survival differences in general factorial designs via permutation tests
论文作者
论文摘要
Cox回归通常推断出具有右验证的阶乘生存设计，并通过危险比进行解释。但是，如果存在非比例危害，它们的解释可能会变得麻烦。特别是对于临床医生。因此，我们提供了一种替代方法：中位生存时间用于估计治疗和相互作用效应，而无效的假设则与其人口版本相反。提出了基于置换的测试和置信区，并证明是渐近有效的。他们的1型误差控制和功率行为在广泛的模拟中研究，显示了新方法的广泛适用性。后者通过说明性数据分析补充。
Factorial survival designs with right-censored observations are commonly inferred by Cox regression and explained by means of hazard ratios. However, in case of non-proportional hazards, their interpretation can become cumbersome; especially for clinicians. We therefore offer an alternative: median survival times are used to estimate treatment and interaction effects and null hypotheses are formulated in contrasts of their population versions. Permutation-based tests and confidence regions are proposed and shown to be asymptotically valid. Their type-1 error control and power behavior are investigated in extensive simulations, showing the new methods' wide applicability. The latter is complemented by an illustrative data analysis.
