Hey.
I am a new user of SAS enterprise Guide.
My question is: How do I find out whether sex is differently distributed in the two groups (contaminated vs. non-contaminated group).
I have binary measures for both sex and contamination (0 and 1). So far I have managed to compare continues variables with a simple "proc ttest" statement, but I can't figure out how to do the same for binary outcomes. I guess a logistic model should do the magic but I'm not sure how to write the correct code or how to interpret the result.
Best regards
Jakob.
Using PROC FREQ check the RISK is different from two group.
proc freq data=have;
table group*sex/ chisq relrisk;
run;
Using PROC FREQ check the RISK is different from two group.
proc freq data=have;
table group*sex/ chisq relrisk;
run;
Good news: We've extended SAS Hackathon registration until Sept. 12, so you still have time to be part of our biggest event yet – our five-year anniversary!
Check out this tutorial series to learn how to build your own steps in SAS Studio.
Find more tutorials on the SAS Users YouTube channel.
Ready to level-up your skills? Choose your own adventure.