國立臺北大學統計學系

專題演講

 

講題：  Robust Estimation of Population Attributable Fractions in the Presence of Multiple Ordered Mediators

主講人：戴安順 教授 (Institute of Statistics and Data Science, National Tsing Hua University)

時間：114年11月05日 (星期三，13：00~15：00)

地點：三峽校區商學院3F13教室

Abstract

Population Attributable Fractions (PAFs) are critical tools for quantifying the proportion of an outcome in a population that can be attributed to specific exposures. In scenarios involving multiple ordered mediators, accurately estimating PAFs becomes complex due to potential mediator-outcome relationships, mediator-mediator interactions, and confounding. This study introduces a robust estimation framework for PAFs in the presence of multiple ordered mediators, called mediated PAFs, leveraging multiply robust estimators that remain consistent under various model misspecifications. The proposed method accommodates the ordered structure of mediators and addresses challenges such as mediator collinearity and indirect effects, ensuring reliable and interpretable estimates. Through extensive simulations and application to real-world data, we demonstrate the utility of our method in uncovering the pathways and population-level impact of exposures mediated by ordered intermediate variables. This work offers a versatile and practical tool for researchers in epidemiology and public health, enabling more nuanced analyses of mediation effects in complex systems.

 

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國立臺北大學統計學系  敬邀

114.10.29

附件：演講摘要