Seminar Series: Peter Austin
An introduction to propensity score methods for estimating treatment effects using observational data
Peter Austin
Full Professor
Institute of Health Policy, Management and Evaluation
University of Toronto
Senior Scientist
Institute for Clinical Evaluative Sciences (ICES)
Short Biography:
Peter Austin a Senior Scientist at ICES and a Full Professor in the Institute of Health Policy, Management and Evaluation at the University of Toronto. He has an extensive program of research in five areas of observational research. First, the use of propensity score methods for estimating the effects of treatments using observational data. Second, in statistical methods for hospital profiling. Third, in statistical methods for predicting patient outcomes. Fourth, analysis of survival data in the presence of competing risks. Fifth, methods for the analysis of multilevel data. He has published over 650 articles, including over 140 as first-author. For seven successive years, he has been identified by Clarivate Analytics as a highly-cited researcher due to the large number of papers that he has written that are amongst the top 1% of cited papers based on their year of publication and field of research. He is an elected fellow of the American Statistical Association and in 2021 won the Canadian Society of Epidemiology and Biostatistics Lifetime Achievement Award.
Abstract:
I will provide a conceptual overview of the propensity score and how it can be used to estimate treatment effects using observational data.
Date: Friday, October 21st
Time: 1:30 pm - 2:30 pm
Location: PHFM 3015 (Western Centre for Public Health and Family Medicine)
