论文标题
调解人的调解分析和结果丢失并非随机
Mediation analysis with the mediator and outcome missing not at random
论文作者
论文摘要
中介分析被广泛用于研究产生效果的直接和间接因果途径。但是，许多中介分析研究受到调解和结果中的缺失挑战。通常，当调解人和结果并非随机缺失时，如果没有进一步的假设，则无法识别直接和间接效应。在这项工作中，我们研究了一些可解释的机制，可以在调解人和结果中随机丢失直接和间接效应的可识别性。我们通过模拟研究评估了这些机制下统计推断的性能，并通过国家职位团研究说明了所提出的方法。
Mediation analysis is widely used for investigating direct and indirect causal pathways through which an effect arises. However, many mediation analysis studies are challenged by missingness in the mediator and outcome. In general, when the mediator and outcome are missing not at random, the direct and indirect effects are not identifiable without further assumptions. In this work, we study the identifiability of the direct and indirect effects under some interpretable mechanisms that allow for missing not at random in the mediator and outcome. We evaluate the performance of statistical inference under those mechanisms through simulation studies and illustrate the proposed methods via the National Job Corps Study.
