Is anyone aware of propensity score matching methods for when there are more than 2 treatment groups? I am working on a project with 4 treatment groups:

- A
- B
- A and B
- Neither A nor B

Calculating propensity scores using multinomial logistic regression might work, but then I'd get multiple scores for each observation so I'm not sure how I'd match/analyze the matched data.

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#### Best Answer

It is not hard to do simultaneous covariate adjustment for multiple propensity scores. I recommend always using the logit propensity scale, and expanding those into restricted cubic splines. An example paper is Mark et al (1994) Circulation 89:2015-2025 where we analyzed three treatments.

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