Jerome P. Reiter

Professor of Statistical Science
Chair of the Department of Statistical Science
Faculty Research Scholar of DuPRI's Population Research Center
Faculty Network Member of The Energy Initiative
Affiliate of the Center for Child and Family Policy
Bass Fellow
Overview

My primary areas of research include methods for preserving data confidentiality, for handling missing values, for integrating information across multiple sources, and for the analysis of surveys and causal studies. I enjoy collaborating on data analyses with researchers who are not statisticians, particularly in the social sciences and public policy.

Education
B.S. 1992, Duke University
Ph.D. 1999, Harvard University

Selected Publications

Kaufman, Brystana G., David Klemish, Andrew Olson, Cordt T. Kassner, Jerome P. Reiter, Matthew Harker, Laura Sheble, Benjamin A. Goldstein, Donald H. Taylor, and Nrupen A. Bhavsar. “Use of Hospital Referral Regions in Evaluating End-of-Life Care..” J Palliat Med, August 19, 2019. https://doi.org/10.1089/jpm.2019.0056.
Akande, O., J. Reiter, and A. F. Barrientos. “Imputation multiple de valeurs manquantes dans des données des ménages contenant des zéros structurels.” Survey Methodology 45, no. 2 (June 1, 2019): 289–315.
Barrientos, A. F., J. P. Reiter, A. Machanavajjhala, and Y. Chen. “Differentially Private Significance Tests for Regression Coefficients,” April 3, 2019. https://doi.org/10.1080/10618600.2018.1538881.
Reiter, J. P. “Differential privacy and federal data releases.” Annual Review of Statistics and Its Application 6 (March 7, 2019): 85–101. https://doi.org/10.1146/annurev-statistics-030718-105142.
Schifeling, T., J. P. Reiter, and M. Deyoreo. “Data fusion for correcting measurement errors.” Journal of Survey Statistics and Methodology 7, no. 2 (January 1, 2019): 175–200. https://doi.org/10.1093/jssam/smy010.

Selected Grants