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Donald Rubin information


Donald Bruce Rubin
Born
Donald Bruce Rubin

(1943-12-22) December 22, 1943 (age 80)
Washington, D.C., U.S.
EducationPrinceton University (BA)
Harvard University (MA, PhD)
Known forRubin causal model
Expectation–maximization algorithm
Scientific career
FieldsStatistics
InstitutionsEducational Testing Service
Princeton University
University of Wisconsin–Madison
University of Chicago
Harvard University
Tsinghua University
Temple University
Thesis The Use of Matched Sampling and Regression Adjustment in Observational Studies  (1971)
Doctoral advisorWilliam Gemmell Cochran
Doctoral students
  • Andrew Gelman
  • Jennifer Hill
  • Xiao-Li Meng
  • Elizabeth A. Stuart
  • Sally Thurston

Donald Bruce Rubin (born December 22, 1943) is an Emeritus Professor of Statistics at Harvard University,[1] where he chaired the department of Statistics for 13 years.[2] He also works at Tsinghua University in China and at Temple University in Philadelphia.[3]

He is most well known for the Rubin causal model, a set of methods designed for causal inference with observational data, and for his methods for dealing with missing data.

In 1977 he was elected as a Fellow of the American Statistical Association.[4]

  1. ^ "Donald B. Rubin". Harvard College. Retrieved September 18, 2019.
  2. ^ "Donald B. Rubin" (PDF). Harvard College. Retrieved September 18, 2019.
  3. ^ "Fox School, Temple University, appoints Rubin and Airoldi". IMS Bulletin. Institute of Mathematical Statistics. September 1, 2018. Archived from the original on May 4, 2019. Retrieved October 23, 2018.
  4. ^ View/Search Fellows of the ASA Archived 2016-06-16 at the Wayback Machine, accessed 2016-08-20.

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synthetic data generation were Trivellore Raghunathan, Jerry Reiter, Donald Rubin, John M. Abowd, and Jim Woodcock. Collectively they came up with a solution...

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