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

Loong, Bronwyn; Zaslavsky, Alan; He, Yulei; Harrington, David

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

Date

2013

Authors

Loong, Bronwyn

Zaslavsky, Alan

He, Yulei

Harrington, David

Publisher

John Wiley & Sons Inc

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

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http://hdl.handle.net/1885/37708

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Open Access Research

Source

Statistics in Medicine

Type

Journal article

DOI

10.1002/sim.5841

Restricted until

2037-12-31

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01_Loong_Disclosure_control_using_2013.pdf (210.45 KB)

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Cultural advice

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

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