Matches are identifiable through the variable, allowing for condition logistic regression or other analysis The output mirrors that of psmatch2, so pstest or similar can be used 1:3 (in this example) propensity score matching on a previously predicted propensity score, without replacement It's a bit clunky, but I think it does what I want it to do: I've combined advice on similar topics from a number of users in the do-file below. Note that this is not a discussion of the advantages or disadvantages of either method. However, psmatch2 only allows 1:n matching with replacement. I want to do 1:n propensity score matching (with n being flexible up to a certain number) without replacement. I have been looking for a solution to this problem for quite a while, and I think I have come up with a solution. This is my first ever post here, so please bear with me.
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