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576 * ! Thu, 8/6/2020, 3:00 PM - 4:50 PM Virtual
Matching Methods for Causal Inference with Emerging Data and Statistical Challenges — Topic Contributed Papers
Biometrics Section, ENAR, Section on Statistics in Epidemiology, Text Analysis Interest Group
Organizer(s): Shu Yang, North Carolina State University
Chair(s): Shu Yang, North Carolina State University
3:05 PM Individualized Matched Design of Observational Studies
Jose Zubizarreta
3:25 PM Double Score Matching Estimators of Average and Quantile Treatment Effects
Yunshu Zhang, North Carolina State University; Shu Yang, North Carolina State University
3:45 PM Estimation for Imputed Survey Data
Xiaofei Zhang, Iowa State University; Wayne A Fuller, Iowa State University
4:05 PM Causal Inference with Free-Text in Both Randomized and Observational Settings
Michael Baiocchi, Stanford University; Jordan Rodu, University of Virginia; Joshua Kravitz, Stanford University
4:25 PM Machine Learning Methods for Causal Inference from Complex Observational Data
Alexander Volfovsky, Duke University
4:45 PM Floor Discussion