Donald Bruce Rubin | |
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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]