Dr. Hansen's research develops methods that aim to sharpen comparisons of subjects receiving an intervention to subjects receiving a control condition, particularly nonrandomized comparisons, and to improve communication and understanding of remaining uncertainties regarding effects of the intervention. He 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, and he is a co-developer of R libraries for optimal matching and associated diagnostics.

Fields of Study

• Causal inference in observational and randomized studies
• Applications in education evaluation, medicine, social epidemiology, criminology, political science and elsewhere in the social sciences

Further details

A light lunch will be available starting at noon. All interested members of the Penn State community are welcome to attend.

Directions to the Databasement in Sparks can be found here.