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322 * ! Tue, 8/9/2022, 2:00 PM - 3:50 PM CC-143A
Novel Statistical Methods and Applications in Precision Mental Health — Topic Contributed Papers
Mental Health Statistics Section, Biometrics Section, ENAR, Caucus for Women in Statistics
Organizer(s): Adam Ciarleglio, George Washington University
Chair(s): Eva Petkova, NYU School of Medicine
2:05 PM Predicting Antidepressant Response Rate Profiles from High-Dimensional and Multimodal Data Using Ensemble Methods
Adam Ciarleglio, George Washington University
2:25 PM Precision Health Treatment Decision Rules Optimization in Mental Health Using Longitudinal Outcome Trajectories
Thaddeus Tarpey, New York University; Lanqiu Yao, New York University School of Medicine
2:45 PM Bayesian Index Models for Heterogeneous Treatment Effects
Hyung G. Park, NYU School of Medicine; Danni Wu, NYU School of Medicine; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, New York University; R. Todd Ogden, Columbia University
3:05 PM Covariate-Adjusted Value-Guided Subgroup Identification via Boosting
Jinchun Zhang, Merck & Co.; Pingye Zhang, Beigene; Junshui Ma, Merck & Co.; Yue Shentu, Daiichi Sankyo Inc.
3:25 PM A Bayesian Approach for Simultaneous Clustering and Outcome Modeling of Matrix-Valued Covariates: Applications to Antidepressant Response Prediction Using Baseline EEG Signals
Kaiqiong Zhao, University of Alberta; Peng Yu, University of Alberta; Bei Jiang, University of Alberta; Thaddeus Tarpey, New York University; Eva Petkova, NYU School of Medicine; R. Todd Ogden, Columbia University
3:45 PM Floor Discussion