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Multiply-Imputed Synthetic Data: Advice to the Imputer

Loong, Bronwyn; Rubin, Donald B


Several statistical agencies have started to use multiply-imputed synthetic microdata to create public-use data in major surveys. The purpose of doing this is to protect the confidentiality of respondents' identities and sensitive attributes, while allowing standard complete-data analyses of microdata. A key challenge, faced by advocates of synthetic data, is demonstrating that valid statistical inferences can be obtained from such synthetic data for non-confidential questions. Large...[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Journal article
Source: Journal of Official Statistics
DOI: 10.1515/JOS-2017-0047


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