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