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DONNA COFFMAN - Penn State University

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Machine Learning Methods to Estimate Propensity Scores in Causal Mediation Analysis
11 December 2014 from 4:00 PM to 5:00 PM
201 Thomas Bldg.
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This talk will focus on estimation of propensity scores for controlling for confounding in causal mediation analysis. Specifically, the approach averages a parametric model and non-parametric machine learning approaches, thereby reducing the problem of extreme weights that can arise when using inverse propensity weighting. In addition, I will extend non-parametric machine learning approaches to propensity score estimation for continuous exposure variables since mediators are often measured as continuous variables. The methods are applied to the Early Dieting in Girls Study.