Dear Stata friends.
I have a dataset with exposed (n=1,500) and unexposed (n=95,000) patients for which I have used the “kmatch” command for Mahalanobis distance matching to get an estimates treatment effects based on the matched observations. There are however some missing data in one of the matching variables. I am familiar with the “mi” imputation command and have used it to generate imputations.
However, I can’t find a way to match after imputation (and I would rather want to generate treatment effects).
Does anyone know a way to manage this?
Regards
Fredric Parenmark
I have a dataset with exposed (n=1,500) and unexposed (n=95,000) patients for which I have used the “kmatch” command for Mahalanobis distance matching to get an estimates treatment effects based on the matched observations. There are however some missing data in one of the matching variables. I am familiar with the “mi” imputation command and have used it to generate imputations.
However, I can’t find a way to match after imputation (and I would rather want to generate treatment effects).
Does anyone know a way to manage this?
Regards
Fredric Parenmark
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