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Journals
Journal of Official Statistics
Volume 33 (2017): Issue 4 (December 2017)
Open Access
Multiply-Imputed Synthetic Data: Advice to the Imputer
Bronwyn Loong
Bronwyn Loong
Australian National University, Research School of Finance, Actuarial Studies and Statistics
Australia
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Loong, Bronwyn
and
Donald B. Rubin
Donald B. Rubin
Harvard University, Department of Statistics
Cambridge, United States of America
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Rubin, Donald B.
Nov 18, 2017
Journal of Official Statistics
Volume 33 (2017): Issue 4 (December 2017)
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Published Online:
Nov 18, 2017
Page range:
1005 - 1019
Received:
Mar 01, 2016
Accepted:
Sep 01, 2017
DOI:
https://doi.org/10.1515/jos-2017-0047
Keywords
Data confidentiality
,
data utility
,
multiple imputation
© 2017 Bronwyn Loong et al., published by De Gruyter Open
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
