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Activity Number: 149
Type: Invited
Date/Time: Monday, August 10, 2015 : 10:30 AM to 12:20 PM
Sponsor: Section on Bayesian Statistical Science
Abstract #314232
Title: Causal Inference on Quantiles with Application to Electronic Health Records
Author(s): Dandan Xu and Michael J. Daniels*
Companies: University of Florida and The University of Texas at Austin
Keywords: Bayesian nonparametrics ; Confounding
Abstract:

We explore causal inference on quantiles using Bayesian nonparametric (BNP) methods in the presence of many confounders. In particular, we define relevant causal quantities and specify BNP models to avoid bias from restrictive parametric assumptions. We illustrate our approach to answer an important clinical question based on electronic health records.


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

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