学术报告
Mediation Analysis for an Ordinal Outcome with Multiple Mediators - 周跃进 （安徽理工大学）
题目：Mediation Analysis for an Ordinal Outcome with Multiple Mediators
报告人：周跃进 （安徽理工大学）
时间：2021年4月22周四下午14:30-15:30
地点：线上腾讯会议（会议号：905 807 737）
Abstract : Mediation analysis is a popular approach for investigating whether the effect of an exposure on an outcome is through a mediator to better understand the underlying causal mechanism. In recent literature, mediation analysis with multiple mediators has been proposed for continuous and dichotomous outcomes. In contrast, methods for mediation analysis for an ordinal outcome are still underdeveloped. In this paper, we first review mediation analysis methods with a continuous mediator for an ordinal outcome and then develop mediation analysis with a binary mediator for an ordinal outcome. We further consider multiple mediators for an ordinal outcome in the counterfactual framework and provide identification assumptions for identifying the mediation effects. Under the identification assumptions, we propose a regression-based method to estimate the mediation effects through multiple mediators while allowing the presence of exposure-mediator interactions. The closed-form expressions of mediation effects are also obtained for three scenarios: multiple continuous mediators, multiple binary mediators, and multiple mixed mediators. We conduct simulation studies to assess the finite sample performance of our new methods and present the biases, standard errors and confidence intervals to demonstrate that our proposed estimators perform well in a wide range of practical settings. Finally, we apply our proposed methods to assess the mediation effects of candidate DNA methylation CpG sites in the causal pathway from socioeconomic index to body mass index.
报告人简介：周跃进，安徽理工大学副教授，2014年于上海财经大学统计与管理学院获博士学位。主要研究兴趣包括因果中介分析、非参数统计等。目前在Statistics Sinica,Computational Statistics, Statistics and Its Interface、Journal of Applied Statistics等期刊发表论文十余篇。
联系人：胡涛
举办单位：首都师范大学77779193永利官网、交叉科学研究院
