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545
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Thu, 8/6/2020,
1:00 PM -
2:50 PM
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Virtual
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Machine Learning and Nonparametric Methods in Causal Inference — Topic Contributed Papers
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Section on Statistics in Epidemiology, Biometrics Section, Health Policy Statistics Section
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Organizer(s): Ted Westling, University of Massachusetts Amherst
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Chair(s): Marco Carone, Department of Biostatistics, University of Washington
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1:05 PM
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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
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1:25 PM
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Far from MCAR: Obtaining Population-Level Estimates of HIV Viral Suppression
Laura B. Balzer, UMass Amherst; SEARCH Collaboration, Makerere University - UC San Francisco
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1:45 PM
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Nonparametric Tests of the Causal Null with Non-Discrete Exposures
Ted Westling, University of Massachusetts Amherst
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2:05 PM
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Sensitivity Analysis via the Proportion of Unmeasured Confounding
Matteo Bonvini, Carnegie Mellon University; Edward Kennedy, Carnegie Mellon University
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2:25 PM
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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
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2:45 PM
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Floor Discussion
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