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Jerome P. Reiter

Professor of Statistical Science
Statistical Science
Box 90251, Durham, NC 27708-0251
415 Chapel Drive, 214 Old Chemistry, Durham, NC 27708

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.

Current Appointments & Affiliations


Professor of Statistical Science · 2013 - Present Statistical Science, Trinity College of Arts & Sciences
Faculty Research Scholar of DuPRI's Population Research Center · 2010 - Present Duke Population Research Center, Duke Population Research Institute
Affiliate Faculty Member, Duke-Margolis Institute for Health Policy · 2024 - Present Duke-Margolis Institute for Health Policy, University Institutes and Centers

In the News


Published June 6, 2022
Haynie, Alberts to Lead Trinity Social Sciences, Natural Sciences; Reiter Appointed as Interim
Published September 17, 2020
Michael Reiter: Cybersecurity Is a Moving Target
Published May 22, 2020
Clyde, Reiter Named Institute of Mathematical Statistics Fellows

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Recent Publications


Optimal F-score Matching for Bipartite Record Linkage

Journal Article Statistics and Computing · October 1, 2025 Probabilistic record linkage is often used to match records from two files, in particular when the variables common to both files comprise identifiers measured with occasional errors like names and demographic variables. We consider bipartite record linkag ... Full text Cite

Efficient and Scalable Bipartite Matching with Fast Beta Linkage (fabl)

Journal Article Bayesian Analysis · September 1, 2025 Within the field of record linkage, Bayesian methods have the crucial advantage of quantifying uncertainty from imperfect linkages. However, current implementations of Bayesian Fellegi-Sunter models are computationally intensive, making them challenging to ... Full text Cite

Differentially private estimation of weighted average treatment effects for binary outcomes

Journal Article Computational Statistics and Data Analysis · July 1, 2025 In the social and health sciences, researchers often make causal inferences using sensitive variables. These researchers, as well as the data holders themselves, may be ethically and perhaps legally obligated to protect the confidentiality of study partici ... Full text Cite
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Recent Grants


Synthetic Data for the National Center for Health Statistics

ResearchPrincipal Investigator · Awarded by Georgia Institute of Technology · 2023 - 2025

Enhancing Synthetic Data Techniques for Practical Applications

ResearchPrincipal Investigator · Awarded by National Science Foundation · 2022 - 2025

Addressing Bias from Missing Data in EHR Based Studies of CVD

ResearchCollaborator · Awarded by National Institutes of Health · 2018 - 2023

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Education, Training & Certifications


Harvard University · 1999 Ph.D.
Duke University · 1992 B.S.

External Links


Personal site