Hello, does anyone have advice on how to implement Firth's penalized maximum likelihood estimation method in a multilevel logistic regression model in Stata? I have data from a study with 32 clusters (hospitals). I've tried using melogit but am running into the issue of perfect prediction for a few of the variables. I was able to run the firthlogit Stata module successfully - but it does not have a way to account for the clustered study design (I think?) Thank you for any advice you have, I appreciate it.
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