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Donald B. Rubin

Harvard University, Emeritus Professor of Statistics

Donald B. Rubin is John L. Loeb Professor of Statistics, Harvard University. His work on the “Rubin Causal Model” is central to modern understanding of when one can and cannot infer causation from regression. Principal research interests: statistical methods for causal inference; Bayesian statistics; analysis of incomplete data.

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Donald B. Rubin is John L. Loeb Professor of Statistics, Harvard University. His work on the “Rubin Causal Model” is central to modern understanding of when one can and cannot infer causation from regression. Principal research interests: statistical methods for causal inference; Bayesian statistics; analysis of incomplete data.

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An Evening With Donald B. Rubin

  • Causal inference in experiments and observational studies.
  • Inference in sample surveys with nonresponse and in missing data problems.
  • Application of Bayesian and empirical Bayesian techniques.
  • Developing and applying statistical models to data in a variety of scientific disciplines.

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