Jerome P. Reiter, Interim Dean of Natural Science
- Contact Info:
- Ph.D. Harvard University 1999
- B.S. Duke University 1992
Missing Data Imputation
Data and Survey Methods
Sampling and Survey Methods
Statistical Disclosure Limitation
- Research Interests: Data confidentiality, Analysis of complex surveys, MIssing data methods, Causal inference
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. I also am the associate director of the Information Initiative at Duke (iiD).
- Areas of Interest:
- Curriculum Vitae
- Representative Publications
- Deng, Y; Hillygus, DS; Reiter, JP; Si, Y; Zheng, S, Handling attrition in longitudinal studies: The case for refreshment samples,
Statistical Science, vol. 28 no. 2
pp. 238-256, Institute of Mathematical Statistics [1306.2791v1], [doi] [abs].
- Burgette, LF; Reiter, JP, Nonparametric Bayesian multiple imputation for missing data due to mid-study switching of measurement methods,
Journal of the American Statistical Association, vol. 107 no. 498
pp. 439-449, Informa UK Limited [doi] [abs].
- Kinney, SK; Reiter, JP; Reznek, AP; Miranda, J; Jarmin, RS; Abowd, JM, Towards unrestricted public use business microdata: The synthetic Longitudinal Business Database,
International Statistical Review, vol. 79 no. 3
pp. 363-384, WILEY [doi] [abs].
- Drechsler, J; Reiter, JP, Sampling with synthesis: A new approach for creating public use census microdata,
Journal of the American Statistical Association, vol. 105 no. 492
pp. 1323-1332, Informa UK Limited [doi] [abs].
- Kohnen, CN; Reiter, JP, Multiple imputation for combining confidential data owned by two agencies,
Journal of the Royal Statistical Society: Series a (Statistics in Society), vol. 172 no. 2
pp. 511-528, WILEY [doi] [abs].
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