11 October 2010 , 12.30 pm
Organised by Centre for Multilevel Modelling (CMM)Speaker: Professor Donald Rubin, Harvard University
Boardroom, 2 Priory Road, BS8 1TX. 12.30 – 1.30pm
The terminology of direct and indirect causal effects is relatively common in causal conversation as well in some more formal language. In the context of real statistical problems, however, Professor Rubin does not think that the terminology is helpful for clear thinking, and rather leads to confused thinking. This presentation will present several real examples where this point arises, as well as one that illustrates even the great Sir Ronald Fisher was vulnerable to such confusion.
Professor Rubin is John L. Loeb Professor of Statistics at Harvard University. He has made, and continues to make, many important contributions to statistical methodology and its wider application. These include the Rubin Causal Model, propensity scores, and principal stratification, for the analysis of experiments and observational studies. All of these approaches are widely used in quantitative social science, the biomedical sciences, and beyond, and continue to underpin cutting edge research in the field of mathematical statistics.
Contact info-cmm@bristol.ac.uk
