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Profile
| Academic position | Full Professor |
|---|---|
| Research fields | Mathematical and Applied Statistics |
| Keywords | Rubin's Causal Model, EM Algorithm, Multiple Impitation, Matched Sampling, Propensity Score Matching |
Current contact address
| Country | United States of America |
|---|---|
| City | Cambridge |
| Institution | Harvard University |
| Institute | Department of Statistics |
Host during sponsorship
| Prof. Dr. Susanne Rässler | Lehrstuhl für Statistik und Ökonometrie, Otto-Friedrich-Universität Bamberg, Bamberg |
|---|---|
| Start of initial sponsorship | 01/03/2009 |
Programme(s)
| 2008 | Humboldt Research Award Programme |
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Nominator's project description
| Professor Donald B. Rubin is one of the leading statisticians of our time. He has made important contributions to the study of missing data and causality. He developed the technique of multiple imputation, for example, and his model of causal inference is now referred to as the Rubin causal model. Professor Rubin's work has a tremendous impact on how researchers use statistics in applied work. In Germany, he will explore new methods for multiply imputing panel data and work on using his approach of principal stratification for measuring the causal effect of active labour market policies. |