|
|
|
|
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
|
