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Activity Number: 531 - Precision Medicine: Methods, Tools, and Applications
Type: Invited
Date/Time: Thursday, August 11, 2022 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract #319288
Title: Using Discrete Choice Modeling for Incorporating Patient Preference into Precision Medicine
Author(s): Joshua Zitovsky and Michael Kosorok*
Companies: University of North Carolina at Chapel Hill and University of North Carolina at Chapel Hill
Keywords: Precision medicine; Dynamic treatment regimes; Multiple outcomes; Patient preference

One of the challenges in precision medicine is appropriately incorporating patient preference into the process. In this presentation, we extend earlier work of Butler et al (2018, Biometrics) on using item response theory for incorporating patient outcome preference into dynamic treatment regime estimation to enable use of discrete choice instruments when there are two or more competing clinical outcomes. We will discuss an example in treatment of chronic back pain.

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

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