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Obsidian | Level 7 GS2
Obsidian | Level 7

Using SAS 9.4


I have a data set with 299 obs. I want to propensity match the data set between 2 groups. Group 1 has 98 obs and group 2 has 201 obs. I would like to propensity match based on procedure_type (exact), age, sex, BMI, size. What would be the best way to get propensity match and get data set output? Below is my attempt but I am not sure this is correct. Thank you 


proc logistic data=lw.analysis;
class procedure_type;
model group = procedure_type age bmi size / link=glogit rsquare;
output out = ps_los pred = ps xbeta=logit_ps;

Super User

I suggest looking at the examples for Proc PSMATCH and the documentation as a good starting place.


The example in the Getting Started tab shows code to create a data set that uses Age, Gender and BMI to create matches for a Drug (the role of your procedure_type I think).

Steps would be to create a score, similar that in the example that incorporates "size" as well.





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