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545 Thu, 8/6/2020, 1:00 PM - 2:50 PM Virtual
Machine Learning and Nonparametric Methods in Causal Inference — Topic Contributed Papers
Section on Statistics in Epidemiology, Biometrics Section, Health Policy Statistics Section
Organizer(s): Ted Westling, University of Massachusetts Amherst
Chair(s): Marco Carone, Department of Biostatistics, University of Washington
1:05 PM Efficient Estimation of Stochastic Intervention Effects in Causal Mediation Analysis
Nima Hejazi, UC Berkeley; Iván Díaz, Weill Cornell Medicine; Mark Van der Laan, University of California, Berkeley
1:25 PM Far from MCAR: Obtaining Population-Level Estimates of HIV Viral Suppression
Laura B. Balzer, UMass Amherst; SEARCH Collaboration, Makerere University - UC San Francisco
1:45 PM Nonparametric Tests of the Causal Null with Non-Discrete Exposures
Ted Westling, University of Massachusetts Amherst
2:05 PM Sensitivity Analysis via the Proportion of Unmeasured Confounding
Matteo Bonvini, Carnegie Mellon University; Edward Kennedy, Carnegie Mellon University
2:25 PM Two-Stage Super Learner for Predicting Healthcare Expenditures
Ziyue Wu, Emory University; David Benkeser, Emory University; Seth Berkowitz, The University of North Carolina at Chapel Hill
2:45 PM Floor Discussion