数学与统计学院学术报告[2023] 052号

(高水平大学建设系列报告823号)

报告题目:Sure independence screening for mediation analysis 　　　

报告人：林楠 教授（圣路易斯华盛顿大学）

报告时间：2023年7月5日16:40-17：40

报告地点：汇星楼514

报告内容：In recent years, substantial research effort has been devoted to developing methodology for high dimensional mediation analysis to identify variables from a high-dimensional set to explain the causal mechanism. Traditional screening approaches are often applied, while the linear structural equation model structure of the mediation problem is not well accounted for. We propose a new marginal screening procedure, termed Marginal Sobel Screening (MSS), for high dimensional mediation analysis that takes into account the mediation model structure. We establish sample level properties and population properties to ensure the sure screening property for MSS. MSS is shown via simulation to perform better than benchmark approaches and is applied to the Coronary Artery Risk Development inYoung Adults (CARDIA) Study to examine the mediation effect of ultra-high dimensional DNA methylation markers.

报告人简历：林楠，圣路易斯华盛顿大学文理学院数理统计系、医学院生物统计系教授。主要研究方向包括海量数据、分位数回归、贝叶斯推断、纵向数据和函数型数据分析以及生物信息学。曾在Biometrika、JAMA、TKDE等期刊发表论文70余篇现担任JCGS副主编。

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数学与统计学院　

2023年7月3日