Differential privacy for clinical trial data: Preliminary evaluations

ICDM Workshops 2009 - IEEE International Conference on Data Mining

Volumn , Issue , 2009, Pages 138-143

  Vu, Duy ^a   Slavković, Aleksandra ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Clinical; Differential; Privacy; Trials

Indexed keywords

CLINICAL TRIAL; CONTINGENCY TABLE; CRYPTOGRAPHIC COMMUNITY; PERSONAL INFORMATION; PRIVACY PRESERVATION; SAMPLE SIZES; STATISTICAL ANALYSIS; STATISTICAL EFFICIENCY; STATISTICAL HYPOTHESIS TESTING; THEORETICAL RESULT;

EXPERIMENTS; MEDICAL APPLICATIONS; RANDOM PROCESSES; RANDOM VARIABLES; STATISTICAL TESTS; TECHNICAL PRESENTATIONS;

DATA PRIVACY;

EID: 77951195988     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2009.52     Document Type: Conference Paper

References (22)

1. S. Piantadosi, Clinical Trials: A Methodologic Perspective Second Edition(Wiley Series in Probability and Statistics). Wiley-Interscience, August 2005.
2. T. Tse, R. Williams, and D. Zarin, "Reporting Basic Results in ClinicalTrials. gov, " Chest, vol. 136, no. 1, p. 295, 2009.
3. Food and D. Administration, "Amendments act of 2007. public law no. 110-85." [Online]. Available: http://prsinfo.clinicaltrials.gov/fdaaa.html.
4. X. Cao, K. Maloney, and V. Brusic, "Data mining of cancer vaccine trials: a bird's-eye view, " Immunome Research, vol. 4, no. 1, p. 7, 2008.
5. E. S. Chen, G. Hripcsak, H. Xu, M. Markatou, and C. Friedman, "Automated acquisition of disease-drug knowledge from biomedical and clinical documents: An initial study, " Journal of the American Medical Informatics Association, vol. 15, no. 1, pp. 87 - 98, 2008.
6. C. Bethel, L. Hall, and D. Goldgof, "Mining for Implications in Medical Data, " in Pattern Recognition, 2006. ICPR 2006. 18th International Conference on, vol. 1, 2006.
7. M. Kantarcoglu, J. Jin, and C. Clifton, "When do data mining results violate privacy?" in KDD '04: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining. New York, NY, USA: ACM Press, 2004, pp. 599-604. (Pubitemid 40114977)
8. V. S. Verykios, E. Bertino, I. N. Fovino, L. P. Provenza, Y. Saygin, and Y. Theodoridis, "State-of-the-art in privacy preserving data mining, " SIGMOD Record, vol. 33, p. 2004, 2004.
9. F. C. on Statistical Methodology, "Statistical policy working group 22 - report on statistical disclosure limitation methodology, " 2005.
10. C. Dwork, F. Mcsherry, K. Nissim, and A. Smith, "Calibrating noise to sensitivity in private data analysis, " in In Proceedings of the 3rd Theory of Cryptography Conference. Springer, 2006, pp. 265-284.
11. A. Smith, "Efficient, differentially private point estimators, " Preprint arXiv:0809.4794v1, 2008.
12. C. Dwork and J. Lei, "Differential privacy and robust statistics, " in STOC, 2009, pp. 371-380.
13. L. Wasserman and S. Zhou, "A statistical framework for differential privacy, " Preprint arXiv.org:0811.2501, 2008.
14. B. Barak, K. Chaudhuri, C. Dwork, S. Kale, F. McSherry, and K. Talwar, "Privacy, accuracy, and consistency too: a holistic solution to contingency table release, " in Proceedings of the twenty-sixth ACM SIGMODSIGACT- SIGART Symposium on Principles of Database Systems. ACM New York, NY, USA, 2007, pp. 273-282.
15. C. Dwork, F. McSherry, K. Nissim, and A. Smith, "Calibrating noise to sensitivity in private data analysis, " Lecture Notes in Computer Science, vol. 3876, p. 265, 2006.
16. D. Vu, A. Slavković, and A. Smith, "Differential privacy and statistical hypothesis testing, " Manuscript in preparation available at http://www.stat.psu.edu/∼sesa/privacy.html, 2009.
17. C. Dwork and A. Smith, "Differential privacy for statistics: What we know and what we want to learn, " 2008.
18. T. S. Ferguson, A Course in Large Sample Theory. Chapman & Hall, 1996.
19. G. vanBelle, Statistical Rules of Thumb, 2nd ed. John Wiley & Sons, 2008.
20. Y. Bishop, S. Fienberg, and P. Holland, Discrete Multivariate Analysis: Theory and Practice. MIT Press, Cambridge MA, 1975.
21. K. Nissim, S. Raskhodnikova, and A. Smith, "Smooth sensitivity and sampling in private data analysis, " in STOC '07: Proceedings of the thirty-ninth annual ACM symposium on Theory of computing. ACM, 2007, pp. 75-84.
22. F. Wu, "Applications of the normal laplace and generalized normal laplace distributions, " Master's thesis, University of Victoria, 2008.