Susan Paddock
Susan is generally responsible for NORC’s methods of design and analysis. As a member of NORC’s Executive Council, Susan also works to advance NORC’s corporate research and development enterprise. She leads a division of statisticians, data scientists, methodologists, and artificial intelligence (AI) experts who advance NORC’s capabilities through cross-functional collaboration, efficient statistical operations, fit-for-purpose methodological research and development, and targeted business development.
Susan is an executive sponsor of several initiatives to advance NORC’s capabilities in AI, data science, research quality assurance, data and human subjects protection, quantitative evaluation methods, and sampling. She served as an executive statistical advisor to several projects, including the General Social Survey, Survey of Doctoral Recipients, AP VoteCast, and health care evaluations.
Susan is a leader in statistical methods innovation and application to topics of societal and policy importance, including evaluation of behavioral health interventions; health services research; health care quality; Medicare payment policy; public opinion research; public policy; Veterans’ health care; and performance measurement and rating of entities including health care providers and colleges. She has conducted and published statistical research on several topics, including statistical data integration, Bayesian methods, causal inference, longitudinal and multilevel analysis methods, missing data, and study design for qualitative and quantitative research. Susan has over 120 peer-reviewed publications and has served on several journal editorial boards and on committees for the American Statistical Association (ASA) and the National Academies of Sciences, Engineering, and Medicine.
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Education
PhD
Duke University
MS
Duke University
BS
University of Minnesota
Appointments & Affiliations
Vice President (Elected) | 2024-2026
American Statistical Association
Editor
Harvard Data Science Review
Honors & Awards
Article of the Year | 2020
Medical Care Research & Review
One of the Ten Most-Read Articles | 2015
Health Affairs
Fellow | 2013
American Statistical Association
Mid-career Award | 2013
Health Policy Statistics Section, American Statistical Association
Publications
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International College Ranking Systems: A Methodological Review
Project Report | September 18, 2025
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opens in new tab“Challenges and Opportunities for Analytic and Causal Inference with Official Statistics”
Journal Article | August 28, 2025
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opens in new tab“Statistical Data Integration for Health Policy Evidence-Building”
Journal Article | March 1, 2025
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opens in new tab“Review of Statistical Methods in Health Disparity Research”
Journal Article | May 20, 2024
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opens in new tab“Causal Inference under Interference with Prognostic Scores for Dynamic Group Therapy Studies”
Journal Article | December 8, 2021
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opens in new tab“Appropriate Analyses of Bimodal Substance Use Frequency Outcomes: A Mixture Model Approach”
Journal Article | November 29, 2021
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opens in new tab“Defining and Estimating the Reliability of Physician Quality Measures in Hierarchical Logistic Regression Models”
Journal Article | March 19, 2021
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“College Ranking Systems: A Methodological Review”
Project Report