April 13, 2012
As a preview for the upcoming Summer Institute, we recorded a podcast with Donna Coffman, Methodology Center Principal Investigator, and Max Crowley, doctoral candidate, on how to use propensity scores in causal inference when a study is not randomized.
Donna will present "Propensity Score Methods for Causal Inference" at this year’s Summer Institute on Innovative Methods. The Institute will describe statistical, methodological, and conceptual aspects of propensity score methods for causal inference. It will be held in State College, PA, on June 21-22, 2012 at the Penn Stater Conference Center and Hotel. Scholarships are available to qualified applicants.
Selected Articles Related to this Podcast
Rubin, D. B. (1974). Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of Educational Psychology, 66(5), 688-701. View abstract
Rosenbaum, P. R., & Rubin, D. B. (1984). Reducing bias in observational studies using subclassification on the propensity score. Journal of the American Statistical Association, 79(387), 516-524. View abstract
Rosenbaum, P. R., & Rubin, D. B. (1985). Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. The American Statistician, 39(1), 33-38. View abstract