Rank Estimation of Treatment Differences Based on Repeated Measurements Subject to Dependent Censoring
针对重复测量数据中因患者相依右删失导致缺失的情况，提出一种基于人工删失技术的简单秩估计方法，用于比较不同治疗随时间的效果差异，无需对结果与删失变量的关系设定参数结构，并以艾滋病临床试验数据为例说明。
Abstract In comparing the effectiveness of two treatments, suppose that for each patient repeated measurements of an outcome variable are taken at prespecified time points, but some observations may be missing due to the patient's dependent right censoring. In this article, a simple rank estimation procedure, constructed based on an artificial censoring technique, is proposed for the treatment differences over time without imposing a parametric structure on the dependence between the outcome measures and the censoring variable. Our method can be easily implemented and is illustrated by a dataset from an AIDS clinical trial.