ANOVA with Dunnett Correction, Pairwise p-values

[acuffza]

I'm performing an ANOVA with Dunnett's t-test to simultaneously compare three groups against a control group. I get an overall F-statistic and p-value as well as confidence limits for each of the pairwise differences, but I really want p-values for each of these pairwise comparisons. I set ODS TRACE ON to see the data sets produced by the ANOVA procedure, but it doesn't look like any of them have pairwise p-values. Is there a way to get these? Here's my code:

ods output CLDiffs=week_13_da_stats;
ods output OverallANOVA=week_13_da_anova;
proc anova data=week_13_temp2;
class group;
model pg_DA_ug_Protein=group;
means group / dunnett("Control") nosort;
title "ANOVA: Week 13 DA";
run;
quit;

[Reeza]

Try PROC MULTTEST?

[PGStats · Accepted solution]

If your data is balanced, or nearly balanced, you can ask for lsmeans with option pdiff=control('CONTROL VALUE') in proc glm. If your data isn't balanced, you might be better with lsmeans anyway, depending on your inference needs. Example (adapted from SAS doc.):

title1 'Nitrogen Content of Red Clover Plants';
data Clover;
   input Strain $ Nitrogen @@;
   datalines;
3DOK1  19.4 3DOK1  32.6 3DOK1  27.0 3DOK1  32.1 3DOK1  33.0
3DOK5  17.7 3DOK5  24.8 3DOK5  27.9 3DOK5  25.2 3DOK5  24.3
3DOK4  17.0 3DOK4  19.4 3DOK4   9.1 3DOK4  11.9 3DOK4  15.8
3DOK7  20.7 3DOK7  21.0 3DOK7  20.5 3DOK7  18.8 3DOK7  18.6
3DOK13 14.3 3DOK13 14.4 3DOK13 11.8 3DOK13 11.6 3DOK13 14.2
COMPOS 17.3 COMPOS 19.4 COMPOS 19.1 COMPOS 16.9 COMPOS 20.8
;

proc glm data=Clover;
   class Strain;
   model Nitrogen = Strain;
   lsmeans Strain / pdiff=control('COMPOS');
run;