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124 * ! Mon, 8/8/2022, 10:30 AM - 12:20 PM CC-201
Innovative Development of Semiparametrics for Heterogeneous Causal Effects in Epidemiology — Invited Papers
Section on Statistics in Epidemiology, Section on Nonparametric Statistics, Biometrics Section
Organizer(s): Jiwei Zhao, University of Wisconsin-Madison
Chair(s): Trinetri Ghosh, University of Wisconsin-Madison
10:35 AM Optimal Estimation of Average Treatment Effect on the Treated Under Endogeneous Treatment Assignment
Jiwei Zhao, University of Wisconsin-Madison
11:00 AM Semiparametric Inference for Causal Effects in Graphical Models with Hidden Variables
Ilya Shpitser, Johns Hopkins University; Razieh Nabi, Emory University; Rohit Bhattacharya, Williams College
11:25 AM Heterogeneous Causal Effects Estimation via Semiparametric Bayesian Models
Xinyi Xu, The Ohio State University; Bo Lu, The Ohio State University; Steven MacEachern, The Ohio State University; Ling Wang, Michigan State University; Yuxuan Xin, The Ohio State University; Rui Zhang, The Ohio State University
11:50 AM On the Role of Surrogates in the Efficient Estimation of Treatment Effects with Limited Outcome Data
Xiaojie Mao, Tsinghua University; Nathan Kallus, Cornell University
12:15 PM Floor Discussion