This paper proposes a new test for the comparison of conditional quantile curves when the outcome of interest, typically a duration, is subject to right censoring. The test can be applied both in the case of two independent samples and for paired data, and can be used for the comparison of quantiles at a fixed quantile level, a finite set of levels or a range of quantile levels. The asymptotic distribution of the proposed test statistics is obtained both under the null hypothesis and under local alternatives. We describe a bootstrap procedure in order to approximate the critical values, and present the results of a simulation study, in which the performance of the tests for small and moderate sample sizes is studied and compared with the behavior of alternative tests. Finally, we apply the proposed tests on a data set concerning diabetic retinopathy.

翻译：本文建议,当感兴趣的结果(通常是一段持续时间)受到适当的审查时,对有条件的量化曲线进行新的比较测试,该测试既适用于两个独立的样本,也适用于配对数据,可用于在固定的量化水平、一定的一组水平或一系列的量化水平上比较。拟议测试统计数据的无症状分布在无效假设和当地替代品下都得到了。我们描述了一种靴套程序,以接近关键值,并介绍了模拟研究的结果,其中研究了中小样本大小试验的进行情况,并与替代测试的行为进行了对比。最后,我们将拟议的测试应用于有关糖尿病复古病的数据集。