How do propensity score methods address confounding in observational studies?
Propensity score methods, such as matching, stratification, and weighting, are used to reduce confounding in observational studies. By balancing the distribution of confounders between treatment groups, these methods help to approximate the conditions of a randomized controlled trial. Propensity score methods are valuable for evaluating the effects of interventions when randomization is not feasible.
