I am new to R & propensity matching. I doing a quasi-experimental study in which a group of 320 students received treatment and a group of 280 students did not receive treatment.

I would like to match individual students in the two groups based on gender, race and SES (these are nominal data). Can I use R to do this? Can someone send me a script?

Thank you, NJ

  • $\begingroup$ I don't think this should be on hold. While it does specifically address R, there is an element of statistics here in that the OP asks. $\endgroup$ – StatsStudent Feb 12 '16 at 18:10

That is called exact matching, not propensity score matching. You can use R to do exact matching. If you want to do propensity score matching, I suggest you take a look at the packages mentioned on Elizabeth Stuart's website for propensity score software: http://www.biostat.jhsph.edu/~estuart/propensityscoresoftware.html.

Personally, I like the twang package in R if you do want to do propensity score matching.

  • $\begingroup$ thank you...this is very helpful. I'll follow through with your suggestions. $\endgroup$ – Nora Jones Feb 11 '16 at 21:55

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