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Donald Rubin
Donald Bruce Rubin | |
|---|---|
| Born | Donald Bruce Rubin December 22, 1943 Washington, D.C., U.S. |
| Education | Princeton University (BA) Harvard University (MA, PhD) |
| Known for | Rubin causal model Expectation–maximization algorithm |
| Scientific career | |
| Fields | Statistics |
| Institutions | Educational 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 advisor | William Gemmell Cochran |
| Doctoral students | |
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]
- ^ "Donald B. Rubin". Harvard College. Retrieved September 18, 2019.
- ^ "Donald B. Rubin" (PDF). Harvard College. Retrieved September 18, 2019.
- ^ "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.
- ^ View/Search Fellows of the ASA Archived 2016-06-16 at the Wayback Machine, accessed 2016-08-20.
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