Jerome P. Reiter
Professor of Statistical Science
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).
Addressing Bias from Missing Data in EHR Based Studies of CVD awarded by National Institutes of Health (Collaborator). 2018 to 2023
Integrating Multiple Data Sources to Account for Nonignorable Nonresponse awarded by National Science Foundation (Principal Investigator). 2017 to 2019
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 2018
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
Hill, JL, Reiter, JP, and Zanutto, EL. "A Comparison of Experimental and Observational Data Analyses." Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives: An Essential Journey with Donald Rubin's Statistical Family. July 14, 2005. 49-60. Full Text
White, TK, Reiter, JP, and Petrin, A. "Imputation in U.S. Manufacturing Data and Its Implications for Productivity Dispersion." The Review of Economics and Statistics 100.3 (July 2018): 502-509. Full Text
Kaufman, BG, Klemish, D, Kassner, CT, Reiter, JP, Li, F, Harker, M, O'Brien, EC, Taylor, DH, and Bhavsar, NA. "Predicting Length of Hospice Stay: An Application of Quantile Regression." Journal of Palliative Medicine (May 15, 2018). Full Text
Josse, J, and Reiter, JP. "Introduction to the Special Section on Missing Data." Statistical Science 33.2 (May 2018): 139-141. Full Text
Wei, L, and Reiter, JP. "Improving Bayesian mixture models for multiple imputation of missing data using focused clustering." Revstat Statistical Journal 16.2 (April 1, 2018): 213-230.
Hu, J, Reiter, JP, and Wang, Q. "Dirichlet Process Mixture Models for Modeling and Generating Synthetic Versions of Nested Categorical Data." Bayesian Analysis 13.1 (March 2018): 183-200. Full Text
Burris, K, Vittetoe, K, Ramger, B, Suresh, S, Tokdar, ST, Reiter, JP, and Appelbaum, LG. "Sensorimotor abilities predict on-field performance in professional baseball." Scientific Reports 8.1 (January 8, 2018): 116-null. Full Text
Kim, HJ, Reiter, JP, and Karr, AF. "Simultaneous edit-imputation and disclosure limitation for business establishment data." Journal of Applied Statistics 45.1 (January 2, 2018): 63-82. Full Text
Chen, Y, Barrientos, AF, Machanavajjhala, A, and Reiter, JP. "Is my model any good: differentially private regression diagnostics." Knowledge and Information Systems 54.1 (January 2018): 33-64. Full Text
Klemish, D, Ramger, B, Vittetoe, K, Reiter, JP, Tokdar, ST, and Appelbaum, LG. "Visual abilities distinguish pitchers from hitters in professional baseball." Journal of sports sciences 36.2 (January 2018): 171-179. Full Text
Dalzell, NM, Boyd, GA, and Reiter, JP. "Creating linked datasets for SME energy-assessment evidence-building: Results from the U.S. Industrial Assessment Center Program." Energy Policy 111 (December 2017): 95-101. Full Text
Hu, J, Reiter, JP, and Wang, Q. "Disclosure risk evaluation for fully synthetic categorical data." January 1, 2014.
Godin, EA, Sikes, SS, Halpin, MJ, Reiter, JP, and Schwartz-Bloom, RD. "THE ALCOHOL PHARMACOLOGY EDUCATION PARTNERSHIP: EDUCATING HIGH SCHOOL STUDENTS ABOUT ALCOHOL." June 2012.
Schwartz-Bloom, RD, Halpin, MJ, and Reiter, JP. "Professional development in pharmacology for high school teachers improves their students' scores in biology & chemistry." March 7, 2006.
Mitra, R, and Reiter, JP. "Adjusting survey weights when altering identifying design variables via synthetic data." 2006.
Gu, BJ, Reiter, JP, Schwinn, DA, Smith, M, Korstanje, C, Thor, KB, and Dolber, PC. "Effects of alpha-1 adrenergic receptor subtype-selective antagonists on lower urinary tract function in rats with bladder outlet obstruction." April 2004.
Reiter, JP, and Kohnen, CN. "Generalized linear model diagnostics for remote access servers." 2003.