Research Interests

My primary research focus has been investigating statistical methods of preserving data confidentiality. More generally, I am interested in the analysis of complex surveys, especially missing data methods and causal inference. I enjoy collaborating on data analyses with researchers who are not statisticians, particularly in the social sciences.

Keywords:

survey, confidentiality, missing data

Current projects:

NISS Digital Government Project

Research on Data Confidentiality with Census Bureau

Representative Publications

1. Reiter JP, Multiple imputation when records used for imputation are not used or disseminated for analysis, Biometrika (Accepted, 2008).
2. Reiter JP and Raghunathan TE, The multiple adaptations of multiple imputation, Journal of the American Statistical Association, vol. 102 (2007), pp. 1462 - 1471.
3. Reiter JP, Small-sample degrees of freedom for multi-component significance tests with multiple imputation for missing data, Biometrika, vol. 94 (2007), pp. 502 - 508.
4. Hill JL and Reiter JP, Interval estimation of treatment effects when using propensity score matching, Statistics in Medicine, vol. 25 no. 13 (2006), pp. 2230 - 2256.
5. Reiter JP, Estimating risks of identification disclosure for microdata, Journal of the American Statistical Association, vol. 100 (2005), pp. 1103-1113.
6. Reiter JP, Releasing multiply-imputed, synthetic public use microdata: An illustration and empirical study, Journal of the Royal Statistical Society, Series A, vol. 168 (2005), pp. 185 - 205.
7. Reiter JP, Simultaneous use of multiple imputation for missing data and disclosure limitation, Survey Methodology, vol. 30 (2004), pp. 235 - 242.