Ben Hansen
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Affiliated faculty

Ben Hansen

Associate Professor of Statistics, College of Literature, Science and the Arts, and Faculty Associate, Survey Research Center, Institute for Social Research
734-647-5456 [email protected]

Ben Hansen develops research 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. Dr. 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, and he is a co-developer of R libraries for optimal matching and associated diagnostics. 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.

Educational background

  • Ph.D. Logic and Methodology of Science, University of California, Berkeley (2001)
  • M.A. Statistics, University of California, Berkeley (2000)
  • A.B. Mathematics and Philosophy, Harvard College (1993)

Professional affiliations

  • Associate Editor, Journal of the American Statistical Association
  • Consultant, Sage Quantitative Applications in the Social Sciences

Current research

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