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Activity Number: 380 - Curious Roles of Latent Variables in Prediction and Inference
Type: Invited
Date/Time: Tuesday, July 30, 2019 : 2:00 PM to 3:50 PM
Sponsor: Mental Health Statistics Section
Abstract #300238 Presentation
Title: Latent Variables in Causal Inference: Interpretation and Challenges
Author(s): Tyler VanderWeele*
Companies: Harvard University
Keywords: Causal inference; Confounding; Treatment effects; Latent Variables

The presentation will discuss the interpretation of causal effects in the presence of multiple versions of treatment and ill-defined interventions and how these can be conceptualized in terms of latent variables, along with the challenges in interpretation and in confounding assessment when using such conceptualizations. The presentation will also consider the potentially problematic use of latent constructs from factor analysis and measurement theory when used for the purposes of assessing causality.

Authors who are presenting talks have a * after their name.

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