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Donald B. Rubin is an Emeritus Professor of Statistics at Harvard University. He is renowned for his contributions to causal inference, particularly in the design and analysis of experiments and observational studies. Rubin has developed statistical models to address issues such as sample surveys, nonresponse, and missing data problems. His work in Bayesian empirical Bayesian techniques has had a significant impact across various scientific disciplines. Throughout his career, he served as Chairman of the Department of Statistics at Harvard and has been a pivotal figure in statistical research. Rubin has held positions at the National Bureau of Economic Research and NORC in Chicago, contributing to the field through both teaching and research. His educational background includes a Ph.D. in Statistics from Harvard, as well as degrees in Computer Science and Psychology from Harvard and Princeton, respectively. Rubin is celebrated for his seminal work in statistical theory and methodology, influencing generations of statisticians and researchers in social sciences.
Department of Statistics, Harvard University • Cambridge, MA
Professor in the Department of Statistics at Harvard University, focusing on statistical theory and applications.
Department of Statistics, Harvard University • Cambridge, MA
Chairman of the Department of Statistics at Harvard University.
Department of Statistics, Harvard University • Cambridge, MA
Chairman of the Department of Statistics at Harvard University.
National Bureau of Economic Research • Cambridge, MA
Fellow working on theoretical and applied statistics.
NORC • Chicago, IL
Research Associate working on statistical models and applications.
Department of Statistics and Department of Education, University of Chicago • Chicago, IL
Professor involved in the interdisciplinary study of statistics and education.
Administered by the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences (GSAS).