限制平均生存时间的差异已越来越多地用作生存分析中风险比的替代衡量标准。尽管已经开发了一些统计方法来估计根据观察性研究中测量的混杂因素调整的限制平均生存时间的差异，但很少评估未测量的混杂因素对估计的影响。我们开发了一种新颖的敏感性分析，用于估计受限平均生存时间相对于未测量的混杂因素的差异。将敏感性分析问题表述为优化问题后，我们解释了如何有效地获得受限平均生存时间差异的敏感性范围，并使用百分位数引导置信区间评估其不确定性。为一些重要的生存环境提供了分析结果。仿真研究表明所提出的方法在各种设置下都表现良好。我们通过分析德国乳腺癌研究组研究的数据来说明所提出的敏感性分析方法。

The difference in restricted mean survival time has been increasingly used as an alternative measure to the hazard ratio in survival analysis. Although some statistical methods have been developed for estimating the difference in restricted mean survival time adjusted for measured confounders in observational studies, the impact of unmeasured confounding on the estimate has rarely been assessed. We develop a novel sensitivity analysis for the estimate of the difference in restricted mean survival time with respect to unmeasured confounding. After formulating the sensitivity analysis problem as an optimization problem, we explain how to obtain the sensitivity range of the difference in restricted mean survival time efficiently and assess its uncertainty using the percentile bootstrap confidence interval. Analytic results are provided for some important survival settings. Simulation studies show that the proposed methods perform well in various settings. We illustrate the proposed sensitivity analysis method by analyzing data from the German Breast Cancer Study Group study.