Selecting the number of imputed datasets when using multiple imputation for missing data and disclosure limitation

Statistics and Probability Letters

Volumn 78, Issue 1, 2008, Pages 15-20

  Reiter, Jerome P ^a  

^a DUKE UNIVERSITY   (United States)

Author keywords

Confidentiality; Disclosure; Missing data; Multiple imputation; Synthetic data

Indexed keywords

EID: 36148942879     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.spl.2007.04.020     Document Type: Article

References (17)

1. Abowd J.M., and Woodcock S.D. Disclosure limitation in longitudinal linked data. In: Doyle P., Lane J., Zayatz L., and Theeuwes J. (Eds). Confidentiality, Disclosure, and Data Access: Theory and Practical Applications for Statistical Agencies (2001), North-Holland, Amsterdam 215-277
2. Abowd J.M., and Woodcock S.D. Multiply-imputing confidential characteristics and file links in longitudinal linked data. In: Domingo-Ferrer J., and Torra V. (Eds). Privacy in Statistical Databases (2004), Springer, New York 290-297
3. Kennickell A.B. Multiple imputation and disclosure protection: the case of the 1995 Survey of Consumer Finances. In: Alvey W., and Jamerson B. (Eds). Record Linkage Techniques (1997), National Academy Press, Washington, DC 248-267
4. Little R.J.A. Statistical analysis of masked data. J. Official Statist. 9 (1993) 407-426
5. Raghunathan, T.E., 2003. Evaluation of inferences from multiple synthetic data sets created using semiparametric approach. Report for the National Academy of Sciences Panel on Access to Confidential Research Data.
6. Raghunathan T.E., Lepkowski J.M., van Hoewyk J., and Solenberger P. A multivariate technique for multiply imputing missing values using a series of regression models. Survey Methodology 27 (2001) 85-96
7. Raghunathan T.E., Reiter J.P., and Rubin D.B. Multiple imputation for statistical disclosure limitation. J. Offcial Statist. 19 (2003) 1-16
8. Reiter J.P. Satisfying disclosure restrictions with synthetic data sets. J. Offcial Statist. 18 (2002) 531-544
9. Reiter J.P. Inference for partially synthetic, public use microdata sets. Survey Methodology (2003) 181-189
10. Reiter J.P. New approaches to data dissemination: a glimpse into the future (?). Chance 17 3 (2004) 12-16
11. Reiter J.P. Simultaneous use of multiple imputation for missing data and disclosure limitation. Survey Methodology 30 (2004) 235-242
12. Reiter J.P. Releasing multiply-imputed, synthetic public use microdata: an illustration and empirical study. J. Roy. Statist. Soc. Ser. A 168 (2005) 185-205
13. Reiter J.P. Significance tests for multi-component estimands from multiply-imputed, synthetic microdata. J. Statistic. Plan. Infer. 131 (2005) 365-377
14. Reiter J.P. Using CART to generate partially synthetic, public use microdata. J. Official Statist. 21 (2005) 441-462
15. Rubin D.B. Multiple Imputation for Nonresponse in Surveys (1987), Wiley, New York
16. Rubin D.B. Discussion: statistical disclosure limitation. J. Official Statist. 9 (1993) 462-468
17. Willenborg L., and de Waal T. Elements of Statistical Disclosure Control (2001), Springer, New York