B0283
Title: Identifying biosignatures for placebo response using high dimensional functional data
Authors: Thaddeus Tarpey - Wright State University (United States) [presenting]
Eva Petkova - New York University (United States)
Todd Ogden - Columbia University (United States)
Abstract: Placebo response rates often tend to be quite high when treating many mental illnesses, such as depression. Modeling placebo response in the presence of active treatments continues to present a major statistical challenge. Quantifying the efficacy of active drug treatments is hampered by the presence of nonspecific placebo effects. Consequently, the problem of finding biomarkers for placebo response as well as specific drug response is of critical importance for advancing precision medicine in mental health treatment. The availability of modern high dimensional baseline modalities such as brain imaging data has reinvigorated the goal of finding these potential biomarkers. We explore the use of high dimensional functional baseline functional covariates to help distinguish specific drug response from placebo response using data from a depression trial.
