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Profil
| Derzeitige Stellung | Professor W-3 und Äquivalente |
|---|---|
| Fachgebiet | Mathematische Statistik, Angewandte Statistik |
| Keywords | Rubin's Causal Model, EM Algorithm, Multiple Impitation, Matched Sampling, Propensity Score Matching |
Aktuelle Kontaktadresse
| Land | USA |
|---|---|
| Ort | Cambridge |
| Universität/Institution | Harvard University |
| Institut/Abteilung | Department of Statistics |
Gastgeber*innen während der Förderung
| Prof. Dr. Susanne Rässler | Lehrstuhl für Statistik und Ökonometrie, Otto-Friedrich-Universität Bamberg, Bamberg |
|---|---|
| Beginn der ersten Förderung | 01.03.2009 |
Programm(e)
| 2008 | Humboldt-Forschungspreis-Programm für Naturwissenschaftler*innen aus den USA |
|---|
Projektbeschreibung der*des Nominierenden
| 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. |