I have a combined dataset (cases and controls). The total number of cases is fixed and controls has double the number compared to cases . Main outcome of the study to see the recurrence of disease after treatment. I would like to run propenisty score matching on this data set. Is there anyway i can run propensity socre in JMP?
Appreicate for your advice and suggestions.
Hi Pablo. Did you ever find a solution to your question? I am also trying to do a propensity score matching with cases and controls, but cannot figure out how to do this JMP. Thanks!
While JMP doesn't have Propensity Score Analysis (PSA) platform, you can definitely accomplish PSA in JMP by regressing the Treatment/Control factor on the suspected covariates by using the Fit Model (Logistic) platform. The Pscores are the XB portion of the model. You can use the PScores to identify matches or as weights. Also, given that JMP connects with R, you can take advantage of the PSA algorithms that R has, including the Optimal Matching routine. If you know how to do PSA in a different software, you could try using the platforms that JMP has to reproduce the results.