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Journal of Environmental and Public Health
Volume 2012 (2012), Article ID 421989, 9 pages
http://dx.doi.org/10.1155/2012/421989
Review Article

Protecting Privacy of Shared Epidemiologic Data without Compromising Analysis Potential

1Department of Statistics, Radiation Effects Research Foundation, 5-2 Hijiyama Park, Minami-ku, Hiroshima 732-0815, Japan
2Department of Epidemiology, Radiation Effects Research Foundation, Hiroshima 732-0815, Japan
3Department of Medical Informatics, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Okayama 700-8558, Japan
4Department of Information Technology, Radiation Effects Research Foundation, Hiroshima 732-0815, Japan

Received 17 May 2011; Accepted 2 November 2011

Academic Editor: Benny Zee

Copyright © 2012 John Cologne et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. G. T. Duncan, M. Ellot, and J.-J. Salazar-González, Statistical Confidentiality: Principles and Practice, Springer, New York, NY, USA, 2011.
  2. D. Thomson, L. Bzdel, K. Golden-Biddle, T. Reay, and C. A. Estabrooks, “Central questions of anonymization: a case study of secondary use of qualitative data,” Forum Qualitative Sozial Research, vol. 6, no. 1, article 29, 2005. View at Scopus
  3. P. A. Carney, B. M. Geller, H. Moffett et al., “Current medicolegal and confidentiality issues in large, multicenter research programs,” American Journal of Epidemiology, vol. 152, no. 4, pp. 371–378, 2000. View at Publisher · View at Google Scholar · View at Scopus
  4. D. Lambert, “Measures of disclosure risk and harm,” Journal of Official Statistics, vol. 9, pp. 313–331, 1993.
  5. D. Clayton, “On inferring presence of an individual in a mixture: a Bayesian approach,” Biostatistics, vol. 11, no. 4, pp. 661–673, 2010. View at Publisher · View at Google Scholar · View at Scopus
  6. I. P. Fellegi, “On the question of statistical confidentiality,” Journal of the American Statistical Association, vol. 67, pp. 7–18, 1972.
  7. G. T. Duncan and D. Lambert, “Disclosure-limited data dissemination,” Journal of the American Statistical Association, vol. 81, pp. 10–18, 1986.
  8. G. Aggarwal, T. Feder, K. Kenthapadi, et al., “Approximation algorithms for k-anonymity,” Journal of Privacy Technology, 2005.
  9. J. P. Reiter, “Estimating risks of identification disclosure in microdata,” Journal of the American Statistical Association, vol. 100, no. 472, pp. 1103–1112, 2005. View at Publisher · View at Google Scholar · View at Scopus
  10. S. E. Fienberg, “Conflicts between the needs for access to statistical information and demands for confidentiality,” Journal of Official Statistics, vol. 10, pp. 115–132, 1994.
  11. W. A. Fuller, “Masking procedures for microdata disclosure limitation,” Journal of Official Statistics, vol. 9, pp. 383–406, 1993.
  12. A. F. Karr, C. N. Kohnen, A. Oganian, J. P. Reiter, and A. P. Sanil, “A framework for evaluating the utility of data altered to protect confidentiality,” American Statistician, vol. 60, no. 3, pp. 224–232, 2006. View at Publisher · View at Google Scholar · View at Scopus
  13. L. Willenborg and T. de Waal, Elements of Statistical Disclosure Control, Springer, New York, NY, USA, 2000.
  14. CAJ Hurkens and SR Tiourine, “Models and methods for the microdata protection problem,” Journal of Official Statistics, vol. 14, pp. 437–447, 1998.
  15. J. G. Bethlehem, W. J. Keller, and J. Pannekoek, “Disclosure control of microdata,” Journal of the American Statistical Association, vol. 85, pp. 38–45, 1990.
  16. L. H. Cox and R. F. Boruch, “Record linkage, privacy and statistical policy,” Journal of Official Statistics, vol. 4, pp. 3–16, 1988.
  17. Committee on the Role of Institutional Review Boards in Health Services Research Data Privacy Protection, Protecting Data Privacy in Health Services Research, National Academy Press, Washington DC, USA, 2000.
  18. G. T. Duncan, S. A. Keller-McNulty, and S. L. Stokes, “Database security and confidentiality: examining disclosure risk vs. data utility through the R-U confidentiality map,” Tech. Rep. 142, National Institute of Statistical Sciences, Research Triangle Park, NC, USA, March 2004.
  19. J. B. Cologne and D. L. Preston, “Longevity of atomic-bomb survivors,” Lancet, vol. 356, no. 9226, pp. 303–307, 2000. View at Scopus
  20. A. J. Rossini and T. Lumley, “Database linkage, privacy, and medical research,” Chance, vol. 15, pp. 40–42, 2002.
  21. C. J. Skinner and D. J. Holmes, “Estimating the re-identification risk per record in microdata,” Journal of Official Statistics, vol. 14, pp. 361–372, 1998.
  22. T. Dalenius, “Finding a needle in a haystack or identifying anonymous census records,” Journal of Official Statistics, vol. 2, pp. 329–336, 1986.
  23. R. J. A. Little, “Statistical analysis of masked data,” Journal of Official Statistics, vol. 9, pp. 407–426, 1993.
  24. D. Thomas, D. Stram, and J. Dwyer, “Exposure measurement error: influence on exposure-disease relationships and methods of correction,” Annual Review of Public Health, vol. 14, pp. 69–93, 1993. View at Scopus
  25. M. S. Pepe, H. Janes, G. Longton, W. Leisenring, and P. Newcomb, “Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker,” American Journal of Epidemiology, vol. 159, no. 9, pp. 882–890, 2004. View at Publisher · View at Google Scholar · View at Scopus
  26. M. Yamada, F. L. Wong, S. Fujiwara, M. Akahoshi, and G. Suzuki, “Noncancer disease incidence in atomic bomb survivors, 1958–1998,” Radiation Research, vol. 161, no. 6, pp. 622–632, 2004. View at Publisher · View at Google Scholar
  27. D. L. Preston, Y. Shimizu, D. A. Pierce, A. Suyama, and K. Mabuchi, “Studies of mortality of atomic bomb survivors. Report 13: solid cancer and noncancer disease mortality: 1950–1997,” Radiation Research, vol. 160, no. 4, pp. 381–407, 2003. View at Publisher · View at Google Scholar · View at Scopus
  28. G. Suzuki, N. Hattori, M. Hakoda, et al., A case-control study of atrophic gastritis and gastric cancer using frozen sera and genomic DNA: Identification of new biomarkers for chronic gastritis associated with gastric cancer. Research Protocol RP 2-04, Radiation Effects Research Foundation, Hiroshima, Japan, 2004.
  29. D. A. Pierce, D. O. Stram, M. Vaeth, and D. W. Schafer, “The errors-in-variables problem: considerations provided by radiation dose-response analyses of the A-bomb survivor data,” Journal of the American Statistical Association, vol. 87, pp. 351–359, 1992.
  30. B. Mallick, F. O. Hoffman, and R. J. Carroll, “Semiparametric regression modeling with mixtures of Berkson and Classical error, with application to fallout from the Nevada test site,” Biometrics, vol. 58, no. 1, pp. 13–20, 2002. View at Scopus
  31. P. R. Rosenbaum and D. B. Rubin, “The central role of the propensity score in observational studies for causal effects,” Biometrika, vol. 70, no. 1, pp. 41–55, 1983. View at Publisher · View at Google Scholar · View at Scopus
  32. C. P. Webb and H. I. Pass, “Translation research: from accurate diagnosis to appropriate treatment,” Journal of Translational Medicine, vol. 2, article 35, 2004. View at Publisher · View at Google Scholar · View at Scopus
  33. R. D. Peng, “Reproducible research and Biostatistics,” Biostatistics, vol. 10, no. 3, pp. 405–408, 2009. View at Publisher · View at Google Scholar · View at Scopus
  34. S. S. Coughlin, T. L. Beauchamp, and D. L. Weed, Ethics and Epidemiology, Oxford University Press, New York, NY, USA, 2nd edition, 2009.
  35. T. R. Rebbeck, C. B. Ambrosone, and P. G. Shields, Molecular Epidemiology: Applications in Cancer and Other Human Diseases, Informa Healthcare USA Inc., New York, NY, USA, 2008.
  36. Office For Civil Rights, “Summary of the HIPAA Privacy Rule,” United States Department of Health & Human Services, May 2003, http://www.hhs.gov/ocr/privacy/hipaa/understanding/summary/privacysummary.pdf.
  37. World Medical Association Declaration of Helsinki, “Ethical Principles for Medical Research Involving Human Subjects,” World Medical Association, October 2008, http://www.wma.net/en/30publications/10policies/b3/index.html.