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Activity Number: 273 - Statistical Analysis of Complex Imaging Data
Type: Invited
Date/Time: Tuesday, July 31, 2018 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Imaging
Abstract #326472 Presentation
Title: Calculating a Generated Effect Modifier (GEM) for Treatment Selection Based on Imaging Data
Author(s): Todd Ogden* and Hyung Park and Eva Petkova and Thaddeus Tarpey
Companies: Columbia University and Columbia University and NYU School of Medicine and Wright State University
Keywords: precision medicine; EEG; treatment regime

A major goal in precision medicine is to make optimal patient-specific treatment decisions using data observed at baseline. For the treatment of neuropsychiatric disorders, available data may include clinical variables and measures of bevavioral/cognitive performance, as well as complex imaging data. We will present methods for (1) determining low-dimensional projections of all these data that are useful for describing differential treatment response; and (2) for estimating nonparametrically defined link functions based on these projections for each potential treatment. The resulting model can potentially provide powerful tools for precision medicine.

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

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