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Differential Privacy for Subgroup Analysis

Opportunities and Challenges for Publishing Rheumatoid Arthritis Data

Project Info: To be filled out :)

This repo contains code used for my MSc. Thesis. However, due to data sharing restrictions the notebooks cannot be reproduced. I intend to instead fork the https://github.com/opendp/smartnoise-sdk repo and perhaps add some examples based on my thesis on there instead.

More Reading:

  • The Algorithmic Foundations of Differential Privacy

  • Das, S., Drechsler, J., Merrill, K., & Merrill, S. (2022). Imputation under differential privacy. arXiv preprint arXiv:2206.15063.

  • Dwork, Cynthia, and Aaron Roth. “The Algorithmic Foundations of Differential Privacy.” Foundations and Trends® in Theoretical Computer Science, vol. 9, no. 3–4, 2013, pp. 211–407. DOI.org (Crossref), https://doi.org/10.1561/0400000042.

  • Kurz, Christoph F., et al. “The Effect of Differential Privacy on Medicaid Participation among Racial and Ethnic Minority Groups.” Health Services Research, vol. 57, no. S2, Dec. 2022, pp. 207–13. DOI.org (Crossref), https://doi.org/10.1111/1475-6773.14000.

  • Santos-Lozada, Alexis R., et al. “How Differential Privacy Will Affect Our Understanding of Health Disparities in the United States.” Proceedings of the National Academy of Sciences, vol. 117, no. 24, June 2020, pp. 13405–12. DOI.org (Crossref), https://doi.org/10.1073/pnas.2003714117.

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