Analysing Sensitive Data from Dynamically-Generated Overlapping Contingency Tables
Journal article
Joshua J. Bon, Bernard Baffour, Melanie Spallek and Michele Haynes. (2020). Analysing Sensitive Data from Dynamically-Generated Overlapping Contingency Tables. Journal of Official Statistics. 36(2), pp. 275-296. https://doi.org/10.2478/jos-2020-0015
Authors | Joshua J. Bon, Bernard Baffour, Melanie Spallek and Michele Haynes |
---|---|
Abstract | 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 restricted by data custodians when too many censored or perturbed cells are required to preserve privacy. In this article, we describe a framework for selecting and combining log-linear models when accessible data is restricted to overlapping marginal contingency tables. The approach is demonstrated through application to housing transition data from the Australian Census Longitudinal Data set provided by the Australian Bureau of Statistics. |
Year | 2020 |
Journal | Journal of Official Statistics |
Journal citation | 36 (2), pp. 275-296 |
Publisher | Sciendo |
ISSN | 0282-423X |
Digital Object Identifier (DOI) | https://doi.org/10.2478/jos-2020-0015 |
Scopus EID | 2-s2.0-85089077672 |
Open access | Published as ‘gold’ (paid) open access |
Publisher's version | License File Access Level Open |
Publication process dates | |
Deposited | 27 Apr 2021 |
https://acuresearchbank.acu.edu.au/item/8vy49/analysing-sensitive-data-from-dynamically-generated-overlapping-contingency-tables
Download files
Publisher's version
OA_Bon_2020_Analysing_Sensitive_Data_from_Dynamically_Generated.pdf | |
License: CC BY-NC-ND 3.0 | |
File access level: Open |
100
total views49
total downloads3
views this month1
downloads this month