论文标题
关于随机介入间接影响的因果解释
On the Causal Interpretation of Randomized Interventional Indirect Effects
论文作者
论文摘要
标准介导的效应（例如自然间接效应）的鉴定取决于重度假设。通过规避此类假设，所谓的随机介入间接效应在调解文献中越来越受欢迎。在这里，我介绍了一个人可能需要间接效应措施的属性，以便它具有真正的中介解释。例如，每当不存在个人级别的间接效应时，尖锐的无效标准就需要间接效应度量为零。我表明，没有更强有力的假设，随机介入间接效应无法满足此类标准。我还讨论了这种影响的替代因果解释。
Identification of standard mediated effects such as the natural indirect effect relies on heavy causal assumptions. By circumventing such assumptions, so-called randomized interventional indirect effects have gained popularity in the mediation literature. Here, I introduce properties one might demand of an indirect effect measure in order for it to have a true mediational interpretation. For instance, the sharp null criterion requires an indirect effect measure to be null whenever no individual-level indirect effect exists. I show that without stronger assumptions, randomized interventional indirect effects do not satisfy such criteria. I additionally discuss alternative causal interpretations of such effects.
