01-11-2016 04:51 AM
Within a Dataset of 1200 Oberservations I want to adjust several continuous variables (e.g. heartrate, systolic BP) for age as a confounding and continuous variable.
I tried to get adjusted means of heartrate using lsmeans:
PROC glm DATA=bearbeitung; class age_gr1; MODEL sdnn_ms = age_gr1 / solution; lsmeans age_gr1; RUN;
Unfortunately "Lsmeans" calculate only categorial variables. Do you have an idea how I get adjusted means/ I account for age without using "lsmeans"?
Thanks for help.