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Primary Submission Category: Mediation

Mediation analysis with mediator and outcome missing not at random

Authors: Shuozhi Zuo, Debashis Ghosh, Peng Ding, Fan Yang,

Presenting Author: Shuozhi Zuo*

Mediation analysis is widely used for investigating direct and indirect causal pathways through which an effect arises. However, many mediation analysis studies are often 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 missing not at random mechanisms. We evaluate the performance of statistical inference under those assumptions through simulation studies and illustrate the proposed methods via the National Job Corps Study.