Jerome P Reiter, Assistant Professor of Statistical Science
- Contact Info:
- 213 Old Chemistry Bldg.
- 919 668-5227
- jerry@stat.duke.edu
- Personal Web Page:
- http://www.stat.duke.edu/~jerry
- Education:
- PhD, Harvard University, 1999
- BS, Duke University, 1992
- Research Interests: Data confidentiality, Analysis of complex surveys, MIssing data methods
Current projects: NISS Digital Government Project, Research on Data Confidentiality with Census Bureau
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.
- Representative Publications
(More Publications)
- Reiter JP. "Multiple imputation when records used for imputation are not used or disseminated for analysis." Biometrika (Accepted, 2008).
- Reiter JP and Raghunathan TE. "The multiple adaptations of multiple imputation." Journal of the American Statistical Association 102 (2007): 1462 - 1471.
- Reiter JP. "Small-sample degrees of freedom for multi-component significance tests with multiple imputation for missing data." Biometrika 94 (2007): 502 - 508.
- Hill JL and Reiter JP. "Interval estimation of treatment effects when using propensity score matching." Statistics in Medicine 25.13 (2006): 2230 - 2256.
- Reiter JP. "Estimating risks of identification disclosure for microdata." Journal of the American Statistical Association 100 (2005): 1103-1113.
- Reiter JP. "Releasing multiply-imputed, synthetic public use microdata: An illustration and empirical study." Journal of the Royal Statistical Society, Series A 168 (2005): 185 - 205.
- Reiter JP. "Simultaneous use of multiple imputation for missing data and disclosure limitation." Survey Methodology 30 (2004): 235 - 242.
Curriculum Vitae