Dr. Ben Hansen

Professor

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Biography

Ben Hansen is a Professor in the Department of Statistics at the University of Michigan and a Research Associate at the Survey Research Center, Institute for Social Research. His research focuses on developing methods to enhance the precision of comparisons between subjects receiving interventions and those in control conditions, particularly in nonrandomized settings. His work aims to improve understanding of the uncertainties associated with the effects of interventions. Hansen also engages in statistical computations related to matching, diagnostics in randomized studies, matched observational studies, sensitivity analysis, and propensity score methods for dimension reduction. He is a co-developer of R libraries for optimal matching and its associated diagnostics. Hansen's areas of application include education evaluation, medicine, social epidemiology, criminology, political science, and broader social sciences. He has served as an Associate Editor for the Journal of Research on Educational Effectiveness and American Statistician. He has consulted for Sage on Quantitative Applications in the Social Sciences.

Research Interests

Experience

Professor

— Present

University of Michigan • Ann Arbor, MI

Teaching and conducting research in Statistics.

Research Associate

— Present

Survey Research Center, Institute for Social Research • Ann Arbor, MI

Engaging in research related to survey methodology and statistical analysis.

Awards

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Highlighted Article

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Franklin L. Burdette/Pi Sigma Alpha Award

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science