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106 * !
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Mon, 8/9/2021,
1:30 PM -
3:20 PM
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Virtual
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New Frontiers and Developments in Causal Inference — Invited Papers
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Section on Statistical Learning and Data Science
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Organizer(s): Ronghui Xu, University of California at San Diego
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Chair(s): Ronghui Xu, University of California at San Diego
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1:35 PM
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Multiply Robust Estimation of Causal Effects Under Principal Ignorability
Peng Ding, UC Berkeley
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2:00 PM
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Robust Inference for Individualized Treatment
Qingyuan Zhao, University of Cambridge
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2:25 PM
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Small Weights for Big Data: Computational Aspects and Empirical Performance
Jose Zubizarreta, Harvard University; Kwangho Kim, Harvard University
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2:50 PM
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Multiple-Bias Sensitivity Analysis Using Bounds
Louisa H. Smith, Harvard T.H. Chan School of Public Health; Maya Mathur, Stanford University; Tyler J VanderWeele, Harvard University
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3:15 PM
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Floor Discussion
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