Randomized controlled trials are considered to be the gold standard in research design due to removal of confounding through randomization. However, in many instances true experimental designs are not always practical, or even ethical. Propensity score analysis methods can reduce bias in estimating treatment effect that is introduced due to non-random assignment of experimental units to treatment and control groups. This workshop will provide an overview of methods and recent developments in propensity score analysis, with applications in the statistical software packages STATA and R.
Propensity Score Analysis
Files for this workshop are available in Box.
Access FilesA video of this workshop is available at Cornell’s Video on Demand site.
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