Propensity Score Matching (PSM) is a statistical technique used to control for confounding variables in observational studies. It involves creating a matched sample of treated and untreated subjects that have similar propensity scores, which are the probabilities of receiving the treatment given a set of observed covariates. This method helps in mimicking some of the characteristics of a randomized controlled trial (RCT) and reduces selection bias.
