CFE 2019: Start Registration
View Submission - CMStatistics
B1517
Title: Compositional mediation model for binary outcome: Application to microbiome samples Authors:  Michael Sohn - University of Rochester (United States) [presenting]
Abstract: The delicate balance of the microbiome is implicated in our health and is shaped by external factors. Therefore, understanding the mediating role of the microbiome in linking external factors and our health conditions is crucial to translate the microbiome research into therapeutic and preventative applications. We introduce a sparse compositional mediation model for binary outcomes under potential outcomes framework to estimate and test the causal mediation effect utilizing the compositional algebra defined in the simplex space and a linear zero-sum constraint on regression parameters.