AQM Colloquium Series Presents...
Winter Quarter, 2010
Prof Elizabeth Stuart, on 4/8/10
"An introduction to propensity score methods: |
Theoretical background and practical implementation." |
Elizabeth Stuart is an Assistant Professor in the Department of Mental Health and the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health. She received her PhD in Statistics in 2004 from Harvard University, working under the direction of Donald Rubin. Dr. Stuart has extensive experience in methods for estimating causal effects, particularly as applied to mental health, prevention, and education. Her publications include applied and theoretical papers on the use of matching methods such as propensity scores and she has written software for implementing matching methods. She also has extensive experience with designing and analyzing randomized experiments, multilevel modeling, and Bayesian methodology. Her experience with randomized experiments was primarily gained through two years as a Researcher at Mathematica Policy Research, Inc. She has served as a consultant on propensity score methods for the RAND Corporation and Genzyme, Inc. and has taught semester-long and one-day short courses on the estimation of causal effects. She recently received a K25 award from the National Institute of Mental Health, which focuses on developing methods to assess the generalizability of results from randomized trials to broader populations, using the idea of propensity scores to adjust for covariate differences between the trial sample and the broader population.
Elizabeth Stuart's CV and Background
Spring Quarter, 2009
Keith Widaman, Professor, from UC Davis visits on May 7, 2009
Topic: Investigating Factorial Invariance of Latent Variables Across Populations When Manifest Variables Are Missing CompletelyLocation: Moore Hall, UCLA
Keith Widaman: Keith Widaman at UC Davis, Chair, Dept of Psychology
Click here to sign up for his talk and future colloquiums.
Winter Quarter, 2009
Will Shadish, Professor, from UC Merced visits on February 12, 2009
When Can Nonrandomized Experiments Approximate the Answers from Randomized Experiments?
View his papers:
- Februray 12, 3:30-5pm Moore Hall, Room 3340 (Reading Room)
1. Can Nonrandomized Experiments Yield Accurate Answers? By Shadish, Clark & Steiner
2. Three Conditions Which Experiments & Observational Studies Produce Comparable
Causal Estimates By Cook, Shadish & Wong
More on Will Shadish at UC Merced:
Will Shadish, School of Social Sciences, Humanities and Arts
This colloquium is supported in part by a grant from the Institute of Education Sciences (IES) in the U.S. Department of Education.