Types of propensity score matching

Summarized from a nice review paper by Basu, Unuigbe and Masseria (2023). Stratifying by Quintiles of propensity scores (PS). Under this approach, the empirical distribution of the estimated PS across the entire sample (including treated and untreated participants) is divided into quintiles. Indicator variables for the first 4 quintiles are then used as covariates, along…

Optimal Matching Techniques

In randomized controlled trials, participants are randomized to different groups where each group receives a unique intervention (or control). This process insures that any differences in the outcomes of interest are due entirely to the interventions under investigation.   While RCTs are useful, they are expensive to run, are highly controlled and suffer from their own…

How to implement propensity score matching

What options are available for propensity score matching algorithms?  Baser (2006) describes a number of popular options. Stratified Matching.  In this method, the range of variation of the propensity score is divided into intervals such that within each interval, treated and control units have, on average, the same propensity score. Differences in outcome measures between…