Propensity scores are particularly useful in observational studies where randomization is not possible. They help to reduce confounding, which occurs when an extraneous variable influences both the treatment and the outcome. By balancing the covariates, propensity scores aim to mimic some of the characteristics of a randomized controlled trial, thus allowing for a more accurate estimation of the treatment effect.
