Is there a way to do multiple pairwise T-test comparisons against a reference group? For example, let's say our group is race with white, black, and hispanic. We then choose our reference group to be white. And our continuous variable to be blood pressure. What is the best way to get the "Diff (1-2) Pooled" output from proc ttest for white vs black and white vs hispanic?
In the end, I want to get the difference means, CL, and P-value for multiple variables (race, education, income, etc..) and ouput into a table. (But I can figure this part out myself)
Looks like the answer is Proc GLM with the lsmeans statement and options cl, pdiff=Control, and adjust=t.
Proc GLM data=mydata;
class race;
model bp=race;
lsmeans race/cl pdiff=control adjust=t;
run;
Looks like the answer is Proc GLM with the lsmeans statement and options cl, pdiff=Control, and adjust=t.
Proc GLM data=mydata;
class race;
model bp=race;
lsmeans race/cl pdiff=control adjust=t;
run;
Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!
ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.
Find more tutorials on the SAS Users YouTube channel.