Morris H. DeGroot Memorial Lecture

September 16, 2005. 4:15 -- 5:30 pm - Rangos Ballrooms 2 and 3 (University Center)
Professor Donald Rubin will present the eighth Morris H. DeGroot Memorial Lecture,
given in conjunction with the 2005 Workshop.

Causal Inference when Faced with "Censoring" Due to Death
Causal inference is best understood using potential outcomes, which include all post treatment quantities. The use of potential outcomes to define causal effects is particularly important in more complex settings, i.e., observational studies or randomized experiments with complications such as noncompliance. Here we deal with the issue of estimating the casual effect of a treatment on a primary outcome that is "censored" by an intermediate outcome, for example, the effect of a drug treatment on Quality of Life (QOL) in a randomized experiment where some of the patients die before their QOL can be assessed. Because both QOL and death are post-randomization quantities, they both should be considered potential outcomes, and the effect of treatment versus control on QOL is only well-defined for the subset of patients who would live under either treatment or control. Another application is to an educational program designed to increase final test scores, which are not defined for those who drop out of school before taking the test. A further application is to studies of the effect of job-training programs on wages, where wages are only defined for those who are employed, and thus the effect of the job-training program on wages is only well-defined for the subset of individuals who would be employed whether or not they were trained. Some empirical results are presented from Zhang, Rubin and Mealli (2004), which indicate that this framework can lead to new insights because the analysis is not predicated on traditional econometric assumptions.
Past DeGroot lecturers have been Adrian F.M. Smith, A. Philip Dawid, James O. Berger, Bradley Efron, Persi Diaconis, Sir David Cox and Steven Stigler.
Morris H. DeGroot
June 8, 1931 to November 2, 1989
Morris H. DeGroot came to Carnegie Mellon as an Assistant Professor of Mathematics in 1957 and was appointed founding Head of the Department of Statistics in 1966. In 1984, Morrie was named University Professor, which is the highest honor Carnegie Mellon bestows on a faculty member.
Morrie led an unusually active and productive academic life. He wrote three books, edited four volumes and authored over one hundred papers. He was the recipient of several awards, including the Otto Wirth Award for outstanding scholarship from the Roosevelt University Alumni Association. He was an elected fellow of the American Statistical Association, the Institute of Mathematical Statistics, the International Statistical Institute, the Econometric Society and the American Association for the Advancement of Science. Most of his research was on the theory of rational decision-making under uncertainty.
His Optimal Statistical Decisions helped educate a generation of statisticians and is one of the great books in the field. Published in 1970 and subsequently translated into both Russian and Polish, it provided an elegant and comprehensive treatment of a subject that has since come to be recognized as an essential part of statistics and of science as a whole. In 1975, his undergraduate text Probability and Statistics was published. A model of what a textbook should be, it played an important role in mathematical statistics curricula throughout the country.

Organized by:
Emery Brown Alicia Carriquiry Elena Erosheva
Constantine Gatsonis Robert Kass Herbie Lee
Isabella Verdinelli
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