An empirical assessment of differential privacy in real-world observational data: a case-control study of asthma exacerbation in UK Biobank linked with electronic health records
The effects of DP on ORs are highly context-dependent. In this study, epsilon values below ln(2) led to unstable ORs across random seeds. Averaging results or using predetermined seeds may help reduce variability and mitigate p-hacking.
Authors
- Aziz Sheikh (ORCID: https://orcid.org/0000-0001-7022-3056)
- Mehrdad A. Mizani (ORCID: https://orcid.org/0000-0002-2441-895X)
- Amitava Banerjee (ORCID: https://orcid.org/0000-0001-8741-3411)
Institutions
- University of Oxford (GB)
- University College London (GB)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2025-06-18
- DOI
- https://doi.org/10.1093/jamia/ocaf090
- Primary Topic
- Privacy-Preserving Technologies in Data
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Academy of Medical Sciences
- University College London