معرفی
Ben Hansen is a Professor of Statistics and Research Associate at the Survey Research Center, Institute for Social Research at the University of Michigan. His work focuses on strengthening causal inference methods in observational and randomized studies, particularly through matching, sensitivity analysis, and propensity score techniques. He co-developed R libraries like optmatch for optimal matching and diagnostics.
- Education: Ph.D. in Logic and Methodology of Science (UC Berkeley, 2001), M.A. Statistics (UC Berkeley, 2000), A.B. Mathematics and Philosophy (Harvard, 1993)
Research emphasizes improving comparison methodologies in nonrandomized studies and communicating uncertainties in intervention effects. Key applications span education evaluation, medicine, criminology, and political science.
His recent work explores design-based inference for subgroup mortality effects of Medicaid expansions (2024) and regression discontinuity designs in education (2024). He co-authored Design-Based SE Estimation for Hájek Estimators (2024) and contributed to methodological advancements like the PWRD method for trials with heterogeneous effects (2023).
- Awards: Franklin L. Burdette/Pi Sigma Alpha Award (2010), Highlighted article in Journal of Computational and Graphical Statistics (2006)
Hansen serves as Associate Editor for Journal of Research on Educational Effectiveness and The American Statistician, and has consulted for Sage Publications’ quantitative methods series.
