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82 * ! Mon, 8/9/2021, 10:00 AM - 11:50 AM Virtual
Evaluating Causal Effects Using Incomplete Data with Interference in Public Health Research — Topic-Contributed Papers
ENAR, Section on Statistics in Epidemiology, Biopharmaceutical Section
Organizer(s): TingFang Lee, College of Pharmacy, University of Rhode Island
Chair(s): Ashley Buchanan, College of Pharmacy, University of Rhode Island
10:05 AM Causal Effects with Hidden Treatment Diffusion Over Partially Unobserved Networks
Costanza Tortù, Ecole Polytechnique; Irene Crimaldi, IMT Lucca; Fabrizia Mealli, University of Florence; Laura Forastiere, Yale University
10:25 AM Doubly Robust Treatment Effect Estimation with Missing Attributes
Imke Mayer, Centre d'Analyse et de Mathématiques Sociales, EHESS; Erik Sverdrup, Graduate School of Business, Stanford University; Tobias Gauss, Department of Anesthesia and Intensive Care, Beaujon Hospital, AP-HP; Jean-Denis Moyer, Department of Anesthesia and Intensive Care, Beaujon Hospital, AP-HP; Stefan Wager, Stanford University; Julie Josse, INRIA Sophia-Antipolis
10:45 AM Evaluating Disseminated Effects of Incomplete Data in Network-Based Studies for Public Health
TingFang Lee, College of Pharmacy, University of Rhode Island; Ashley Buchanan, College of Pharmacy, University of Rhode Island; Natallia Katenka, Department of Computer Science and Statistics, University of Rhode Island; M. Elizabeth Halloran, Public Health Sciences Division, Fred Hutch; Samuel Friedman, Department of Population Health, NYU Grossman School of Medicine; Georgios Nikolopoulos, Medical School, University of Cyprus
11:05 AM Leveraging Influencers in the Design of Network-Structured Studies to Estimate Direct and Spillover Effects
Junhan Fang, Yale School of Public Health; Donna Spiegelman, Yale School of Public Health; Laura Forastiere, Yale University
11:25 AM Discussant: Samrachana Adhikari, NYU School of Medicine
11:45 AM Floor Discussion