Wednesday, May 24, 2017
12:30 pm - 1:30 pm
Brian L. Strom Conference Room, 701 Blockley Hall
R. Todd Ogden, PhD
Professor of Biostatistics (in Psychiatry)
Vice Chair, Department of Biostatistics
Columbia University
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 behavioral/ cognitive performance, as well as complex imaging data. In the context of a large multi-site randomized trial to study depression (the EMBARC study), Dr. Ogden will discuss some methods for treatment selection using imaging and other baseline data.
Making the most efficient use of complex data will require dimension reduction, penalization and other techniques common in functional data analysis. This will allow us to properly take into account the structure of the data. Dr. Ogden will describe some new methodological advances and illustrate them with preliminary results using the EMBARC data set.