Journal of Statistical Computation and Simulation ( IF 1.2 ) Pub Date : 2021-07-27 , DOI: 10.1080/00949655.2021.1955884 Linhan Hu 1 , Soutrik Mandal 2 , Samiran Sinha 1
Interval-censored data are ubiquitous in clinical studies where actual time-to-event is difficult to measure. A number of nonparametric tests have been proposed to conduct a two-sample test using interval-censored data, and these tests can be used for assessing and comparing treatment effects over the control group. Alternatively, as commonly perceived, parametric tests can also be used assuming data are generated from a parametric family of distributions. To provide some guidance on choosing an appropriate method, in this paper, the performance of parametric tests and a series of nonparametric tests are compared through extensive simulation studies that cover a wide range of scenarios with varying sample sizes, varying censoring mechanisms and varying alternative hypotheses. For the purpose of illustration, we also apply these procedures to analyse three real datasets.
中文翻译:
区间删失数据双样本检验的比较研究
间隔删失数据在临床研究中无处不在,在这些研究中,实际发生事件的时间难以衡量。已经提出了许多非参数检验来使用区间删失数据进行双样本检验,这些检验可用于评估和比较对照组的治疗效果。或者,正如人们普遍认为的那样,假设数据是从参数分布族生成的,也可以使用参数检验。为了为选择合适的方法提供一些指导,在本文中,通过广泛的模拟研究来比较参数检验和一系列非参数检验的性能,这些模拟研究涵盖了具有不同样本量、不同审查机制和不同替代假设的广泛场景. 为了说明的目的,