Disclosure control using partially synthetic data for large-scale health surveys, with applications to CanCORS

Abstract

Statistical agencies have begun to partially synthesize public-use data for major surveys to protect the confidentiality of respondents' identities and sensitive attributes by replacing high disclosure risk and sensitive variables with multiple imputation Show more