Hi Jake,
Thanks for the reply. Yes, trying this out resulted from looking for ways
in python to implement propensity score matching. I found a package,
pscore_match (http://www.kellieottoboni.com/pscore_match/), but the
matching was really terrible. Specifically, I'm matching based on age,
race, g
Hi Randy,
I think that approach is probably a good heuristic, but it will not
necessarily find the optimal result. That said, if you don't care about
having guarantees that you're finding the optimal pairing, but only that
you can find a reasonable set of pairs, it will probably work out fine.
J
Hi Jake,
Thank you for the feedback. Yeah, working without replacement, certain
cases are going to more appropriate matches than others. I proposed the
idea of using replacement and compensating for the re-use of controls with
frequency weighting, but you gotta do what your PI tells you sometimes!
