The propensity score is typically estimated using a logistic regression model where the treatment assignment is regressed on observed covariates. The resulting probability, or propensity score, indicates the likelihood of a subject receiving the treatment based on their covariate profile. Various software packages, such as R and SAS, offer functions to calculate propensity scores easily.
