Propensity Score Matching

Propensity score matching is a statistical technique used to reduce bias in observational studies by creating a comparison group that is similar to the treatment group. It involves estimating the probability of receiving the treatment based on a set of observed covariates, and then matching individuals in the treatment group with individuals in the comparison group who have similar propensity scores. This method helps to balance the distribution of covariates between the two groups, making it easier to estimate the causal effect of the treatment. Propensity score matching is commonly used in healthcare research, social sciences, and economics.
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