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149 * ! Tue, 8/4/2020, 10:00 AM - 11:50 AM Virtual
Generating Data for the Public Good While Adhering to Confidentiality and Privacy Restrictions — Invited Papers
Health Policy Statistics Section, Government Statistics Section, Section on Statistics in Epidemiology
Organizer(s): Roee Gutman, Brown University
Chair(s): Mingyang Shan, Eli Lilly and Company
10:05 AM Challenges of Propagating Record Linkage Uncertainty into Subsequent Analyses
Mauricio Sadinle, University of Washington
10:25 AM A Bayesian Multi-Layered Record Linkage Procedure to Analyze Functional Status of Medicare Patients with Traumatic Brain Injury
Mingyang Shan, Eli Lilly and Company; Kali Thomas, Brown University; Roee Gutman, Brown University
10:45 AM A Simple Strategy for Detecting Biases from Linkage Failures When Merging Different Data Sources
Joerg Drechsler, Institute for Employment Research; Johann Eppelsheimer, Institute for Employment Research; Joe Sakshaug, Institute for Employment Research
11:05 AM Risk-Efficient Bayesian Data Synthesis for Privacy Protection
Jingchen (Monika) Hu, Vassar College; Terrance Savitsky, Bureau of Labor Statistics; Matthew Williams, National Center for Science and Engineering Statistics, National Science Foundation
11:25 AM Discussant: Ofer Harel, University of Connecticut
11:45 AM Floor Discussion