Jerome P. Reiter

Professor of Statistical Science

External address: 
112A Old Chem, Durham, NC 27708
Internal office address: 
Duke Box 90251, Durham, NC 27708-0251
(919) 668-5227


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).

Education & Training

  • Ph.D., Harvard University 1999

  • B.S., Duke University 1992

CIF21 DIBBs: An Integrated System for Public/Private Access to Large-scale, Confidential Social Science Data awarded by National Science Foundation (Principal Investigator). 2015 to 2017

Computatopmal Methods and Tools for Creating High Quality, Public Use Census Microdata awarded by Alfred P. Sloan Foundation (Principal Investigator). 2016 to 2017

NCRN-MN:Triangle Census Research Network awarded by National Science Foundation (Principal Investigator). 2011 to 2016

TC:Large: Collaborative Research: Practical Privacy: Metrics and Methods for Protecting Record-level and Relational Data awarded by National Science Foundation (Principal Investigator). 2010 to 2016

Multiple Imputation Methods for Handling Missing Data in Longitudinal Studies with Refreshment Samples awarded by National Science Foundation (Principal Investigator). 2011 to 2014

Sharing Confidential Datasets With Geographic Identifiers Via Multiple Imputation awarded by National Institutes of Health (Principal Investigator). 2009 to 2012

MMS: Methodology for Improving Public Use Data Dissemination Via Multiply-Imputer, Partially Synthetic Data awarded by National Science Foundation (Principal Investigator). 2008 to 2011

Karr, AF, and Reiter, JP. "Using Statistics to Protect Privacy." Privacy, Big Data, and the Public Good: Frameworks for Engagement. January 1, 2013. 276-295. Full Text

Klemish, D, Ramger, B, Vittetoe, K, Reiter, JP, Tokdar, ST, and Appelbaum, LG. "Visual abilities distinguish pitchers from hitters in professional baseball. (Published online)" J Sports Sci (February 15, 2017): 1-9. Full Text

Kim, HJ, Reiter, JP, and Karr, AF. "Simultaneous edit-imputation and disclosure limitation for business establishment data." Journal of Applied Statistics (December 15, 2016): 1-20. Full Text

Fosdick, BK, DeYoreo, M, and Reiter, JP. "Categorical data fusion using auxiliary information." The Annals of Applied Statistics 10.4 (December 2016): 1907-1929. Full Text

Murray, JS, and Reiter, JP. "Multiple Imputation of Missing Categorical and Continuous Values via Bayesian Mixture Models With Local Dependence." Journal of the American Statistical Association 111.516 (October 2016): 1466-1479. Full Text

Schifeling, TA, and Reiter, JP. "Incorporating Marginal Prior Information in Latent Class Models." Bayesian Analysis 11.2 (June 2016): 499-518. Full Text

Si, Y, Reiter, JP, and Hillygus, DS. "Bayesian latent pattern mixture models for handling attrition in panel studies with refreshment samples." The Annals of Applied Statistics 10.1 (March 2016): 118-143. Full Text

Vilhuber, L, Abowd, JM, and Reiter, JP. "Synthetic establishment microdata around the world." Statistical Journal of the IAOS 32.1 (February 27, 2016): 65-68. Full Text

Wei, L, and Reiter, JP. "Releasing synthetic magnitude microdata constrained to fixed marginal totals." Statistical Journal of the IAOS 32.1 (February 27, 2016): 93-108. Full Text

McClure, D, and Reiter, JP. "Assessing disclosure risks for synthetic data with arbitrary intruder knowledge." Statistical Journal of the IAOS 32.1 (February 27, 2016): 109-126. Full Text

Siddique, J, Reiter, JP, Brincks, A, Gibbons, RD, Crespi, CM, and Brown, CH. "Multiple imputation for harmonizing longitudinal non-commensurate measures in individual participant data meta-analysis." Statistics in medicine 34.26 (November 2015): 3399-3414. Full Text