Ben Hansen, PhD
Ben Hansen is an Associate Professor of Statistics in the U-M Department of Statistics. Hansen’s research develops methods that aim to sharpen comparisons of subjects receiving an intervention to subjects receiving a control condition, and to improve communication and understanding of remaining uncertainties regarding effects of the intervention. Hansen writes on statistical and computation issues related to matching, on diagnostics for randomized studies and for matched observational studies, on sensitivity analysis, and on propensity scores and related methods of dimension reduction sensitivity analysis. Hansen is a co-developer of R libraries for optimal matching and associated diagnostics.