JSM2024
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Contributed Papers

Topics in Privacy and Confidentiality, Record Linkage, and Medicare Integrity

Thu, Aug 8, 10:30 AM - 12:20 PM
Elan SegarraChair
Committee on Privacy and Confidentiality

7 Presentations

Practical Problems with Linear Regression under Differential Privacy
10:35 AM - 10:50 AM
Joerg Drechsler (Institute for Employment Research)
Co-authors: Soumojit Das (University of Maryland), Keith Merrill (Brandeis University), Shawn Merrill (independent researcher)
Sequential Monte Carlo Methods for Inference on Privatized Data
10:50 AM - 11:05 AM
Yu-Wei Chen (Purdue University)
Co-authors: Jordan Awan (Purdue University)
Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression
11:05 AM - 11:20 AM
Jayshree Sarathy
Co-authors: Salil Vadhan
Using All-pass Filtering to Achieve Privacy for Multivariate Time Series Data
11:20 AM - 11:35 AM
Gaurab Hore (FDA)
Co-authors: Tucker McElroy (US Census Bureau), Anindya Roy (University of Maryland-Baltimore County)
Simulation-Based Differentially Private Inference for Proportions
11:35 AM - 11:50 AM
Ogonnaya Romanus (Auburn University)
Co-authors: Younes Boulaguiem, roberto molinari (Auburn University), Stéphane Guerrier (University of Geneva)
Comparing Open-Source Record Linkage Software to Existing Approaches: A Case Study using Census Data
11:50 AM - 12:05 PM
Dakota Arthun (US Census Bureau)
Co-authors: Aaron Gilary (U.S. Census Bureau), Sarah McGinnis (U.S. Census Bureau), Julianne Zamora
Empirical Likelihood Estimation in Medicare Integrity Investigations
12:05 PM - 12:20 PM
Piaomu Liu (Bentley University)
Co-authors: Don Edwards (Dept. of Statistics, University of South Carolina)
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