Propensity score matching (PSM) is a statistical technique used in observational studies to reduce selection bias when estimating the effects of a treatment or intervention. It involves creating a matched sample of treated and control units that are similar in terms of their observed covariates, thereby mimicking the conditions of a randomized controlled trial.
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