Comparison of Privacy-Protecting Analytic and Data-sharing Methods: a Simulation Study

摘要

PURPOSEPrivacy-protecting analytic and data-sharing methods that minimize the disclosure risk of sensitive information are increasingly important due to the growing interest in utilizing data across multiple sources. We conducted a simulation study to examine how avoiding sharing individual-level data in a distributed data network can affect analytic results.