Skip to main content

COVID-19 Notice

Whenever possible, the university recommends that events and meetings continue to be held virtually; it is highly recommended that in-person events also allow for virtual participation by attendees who choose not to or are unable to participate in person. Any in-person events must follow campus policy for schools/colleges/divisions, and student organizations.

Mediation Analysis with Unobserved Mediator-Outcome Confounding

Felix Elwert, PhD. Professor, Department of Sociology, University of Wisconsin-Madison

Event Details

Friday, September 18, 2020
12-1 p.m.
Causal mediation analysis aims to decompose total causal effects into direct and indirect causal effects. But whereas randomization of an exposure identifies the total causal effect, it does not identify direct or indirect effects in the presence of unobserved mediator-outcome confounding. We propose a new method for the identification of direct and indirect effects in the presence of unobserved mediator-outcome confounding in linear models.