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Analysing Sensitive Data from Dynamically-Generated Overlapping Contingency Tables

Bon, Joshua J; Baffour, Bernard; Spallek, Melanie; Haynes, Michele


Contingency tables provide a convenient format to publish summary data from confidential survey and administrative records that capture a wide range of social and economic information. By their nature, contingency tables enable aggregation of potentially sensitive data, limiting disclosure of identifying information. Furthermore, censoring or perturbation can be used to desensitise low cell counts when they arise. However, access to detailed cross-classified tables for research is often...[Show more]

CollectionsANU Research Publications
Date published: 2020
Type: Journal article
Source: Journal of Official Statistics
DOI: 10.2478/JOS-2020-0015
Access Rights: Open Access


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