Susan Paddock is the chief statistician and executive vice president at NORC at the University of Chicago. She is generally responsible for the methods of design and analysis used in NORC proposals and projects and for the NORC corporate research and development enterprise.
Her research includes developing innovative statistical methods, with a focus on Bayesian methods, hierarchical (multilevel) modeling, nonparametric Bayes, longitudinal data analysis, and missing data techniques.
Paddock is the principal investigator of a project sponsored by the National Institute on Alcohol Abuse and Alcoholism to develop methods for analyzing data arising from studies of group therapy-based interventions. She was the principal investigator of a project sponsored by the Agency for Healthcare Research and Quality to improve the science of public reporting of health care provider performance. She co-led a project to conduct analyses related to the Medicare Advantage Plan Ratings for Quality Bonus Payments. Her other substantive research interests include health services research, substance abuse treatment, quality of health care, and veterans’ health care.
Prior to joining NORC, Paddock spent 20 years as a senior statistician with RAND Corporation. From 2008 to 2013, Paddock led the RAND Statistics Group. Paddock has served on editorial boards for the Annals of Applied Statistics, Journal of the American Statistical Association, and Medical Care, and has served on committees for the American Statistical Association (ASA) and the National Academies of Sciences, Engineering, and Medicine. Paddock is a fellow of the ASA and was the recipient of the 2013 Mid-career Award of the Health Policy Statistics Section of the ASA. She received her PhD in statistics from Duke University and her BA in mathematics and biostatistics from the University of Minnesota.