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
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
