Disclosure control using partially synthetic data for large-scale health surveys, with applications to CanCORS
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
|Collections||ANU Research Publications|
|Source:||Statistics in Medicine|
|01_Loong_Disclosure_control_using_2013.pdf||210.45 kB||Adobe PDF||Request a copy|
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