Avoiding disclosure of individually identifiable health information: a literature review
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References listed on IDEAS
- C. J. Skinner, 2007. "The probability of identification: applying ideas from forensic statistics to disclosure risk assessment," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(1), pages 195-212.
- Daniel Weinberg & John Abowd & Sandra Rowland & Philip Steel & Laura Zayatz, 2007. "Access Methods for United States Microdata," Working Papers 07-25, Center for Economic Studies, U.S. Census Bureau.
- Julia Lane & Claudia Schur, 2009. "Balancing Access to Data And Privacy. A review of the issues and approaches for the future," Working Paper Series of the German Council for Social and Economic Data 113, German Council for Social and Economic Data (RatSWD).
- John M. Abowd & Julia I. Lane, 2004. "New Approaches to Confidentiality Protection Synthetic Data, Remote Access and Research Data Centers," Longitudinal Employer-Household Dynamics Technical Papers 2004-03, Center for Economic Studies, U.S. Census Bureau.
- Skinner, Chris & Shlomo, Natalie, 2008. "Assessing Identification Risk in Survey Microdata Using Log-Linear Models," Journal of the American Statistical Association, American Statistical Association, vol. 103(483), pages 989-1001.
- J. Trent Alexander & Michael Davern & Betsey Stevenson, 2010.
"Inaccurate age and sex data in the Census PUMS files: Evidence and Implications,"
NBER Working Papers
15703, National Bureau of Economic Research, Inc.
- J. Trent Alexander & Michael Davern & Betsey Stevenson, 2010. "Inaccurate age and sex data in the Census PUMS files: evidence and implications," Working Paper Series 2010-03, Federal Reserve Bank of San Francisco.
- J. Trent Alexander & Michael Davern & Betsey Stevenson, 2010. "Inaccurate Age and Sex Data in the Census PUMS Files: Evidence and Implications," CESifo Working Paper Series 2929, CESifo Group Munich.
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- Erdem, Erkan & Prada, Sergio I, 2011. "Creation of public use files: lessons learned from the comparative effectiveness research public use files data pilot project," MPRA Paper 35478, University Library of Munich, Germany.
- Task Force Members Include: Lilli Japec & Frauke Kreuter & Marcus Berg & Paul Biemer & Paul Decker & Cliff Lampe & Julia Lane & Cathy O'Neil & Abe Usher, 2015. "AAPOR Report on Big Data," Mathematica Policy Research Reports 4eb9b798fd5b42a8b53a9249c, Mathematica Policy Research.
More about this item
Keywordspublic use files; disclosure avoidance; reidentification; de-identification; data utility;
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
- C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
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