Bing Han

Photo of Bing Han
Senior Statistician; Professor, Pardee RAND Graduate School
Santa Monica Office


Ph.D. in statistics, Pennsylvania State University; M.S. in statistics, Pennsylvania State University; M.S.E. in nuclear science and engineering, Tsinghua University


Bing Han is a senior statistician at the RAND Corporation and a professor at the Pardee RAND Graduate School. His research interests include large-scale simultaneous inference, nonparametric statistics, causal inference, and longitudinal data. He is an applied statistician working in several policy domains, including public health, education evaluation, and science and technology. Han received his Ph.D. in statistics from Pennsylvania State University.

Recent Projects

  • A Novel Casual Difference-in-differences Method to Study the Medical Home Effects
  • Do Departments of Parks and Recreation Foster or Alleviate Health Disparities
  • A Model Averaging Approach to Causal Inference in Substance Abuse Prevention Research
  • Hierarchical Modeling of Alcohol Treatment Outcomes of Group Therapy

Selected Publications

Antonelli, J., Han, B., Cefalu, M. , "A synthetic estimator for the efficacy of clinical trials with all-or-nothing compliance," Statistics in Medicine, 2017 (forthcoming)

Han, B.; Yu, H., Friedberg, M., "Evaluating the impact of parent-reported medical home status on children’s health care utilization, costs, and quality: a difference-in-differences analysis with causal inference," Health Services Research, 52, 2017

Han, B., Cohen, D.A., Derose, K.P., Williamson, S., Li, J., "Violent crime and park use in low-income urban neighborhoods," American Journal of Preventive Medicine, 2017 (forthcoming)

Han, B., Yu, H. , "Causal difference-in-differences estimation for evaluating the impact of semi-continuous medical home scores on health care for children," Health Services and Outcomes Research Methodology, 2019 (forthcoming)