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Jerome P. Reiter

Professor of Statistical Science
Statistical Science
Duke Box 90251, Durham, NC 27708-0251
208 Old Chem, Box 90251, 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 of the Center for Child and Family Policy · 2015 - Present Center for Child and Family Policy, Sanford School of Public Policy
Affiliate Faculty Member, Duke-Margolis Institute for Health Policy · 2024 - Present Duke-Margolis Institute for Health Policy, University Initiatives & Academic Support Units

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


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

The association between long-term PM2.5 exposure and risk for pancreatic cancer: an application of social informatics.

Journal Article Am J Epidemiol · March 4, 2025 There is a profound need to identify modifiable risk factors to screen and prevent pancreatic cancer. Air pollution, including fine particulate matter (PM2.5), is increasingly recognized as a risk factor for cancer. We conducted a case-control study using ... Full text Link to item Cite

Studying Chinese immigrants' spatial distribution in the Raleigh-Durham area by linking survey and commercial data using romanized names.

Journal Article Journal of the Royal Statistical Society. Series A, (Statistics in Society) · January 2025 Many population surveys do not provide information on respondents' residential addresses, instead offering coarse geographies like zip code or higher aggregations. However, fine resolution geography can be beneficial for characterizing neighbourhoods, espe ... 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