This series of three training videos provides researchers and analysts with an overview of causal inference and the role of propensity scores in analysis. The videos provide step-by-step procedures for implementing propensity score analyses involving two or more treatment groups using the TWANG (Toolkit for Weighting and Analysis of Nonequivalent Groups) data analysis package. TWANG contains a set of functions to support causal modeling of observational data through the estimation and evaluation of propensity score weights. These three training videos, narrated by TWANG project leaders Beth Ann Griffin and Daniel McCaffrey, include an introduction to causal effects and propensity scores, a tutorial containing step-by-step procedures for using TWANG to estimate propensity score weights when there are two treatment groups, and a tutorial containing step-by-step procedures for using TWANG to estimate propensity score weights when there are three or more treatment groups.
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