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