Hi all, I am currently analyzing a study where participants answered a questionnaire about how they perceived/graded two different stimuli (CS+ and CS-) after receiving either medication A, medication B or Placebo. I succeed to perform the non parametric anova using turkey adjust : /* Ranks on Fear */ %macro rank_Fear(dataset); proc rank data=&dataset out=&dataset; var Fear; ranks r_el_Fear; run; /* Non-parametric ANOVA on Fear ranks */ PROC MIXED DATA=&dataset METHOD=MIVQUE0 ANOVAF; CLASS Subject CS Grp; MODEL r_el_Fear=CS|Grp; REPEATED/SUBJECT=Subject Group=Grp TYPE=UN; lsmeans CS Grp CS*Grp/ adjust=tukey; ods select ModelInfo Tests3 diffs lsmeans; run; %mend; However since it is a medication study with a placebo I am thinking that it could make sense to use dunnett adj instead PROC MIXED DATA=&dataset METHOD=MIVQUE0 ANOVAF; CLASS Subject CS Grp_cat; MODEL r_el_Fear=CS|Grp_cat; REPEATED/SUBJECT=Subject Group=Grp_cat TYPE=UN; lsmeans Grp_cat /PDIFF=CONTROL('Group 3'') adjust=dunnett; ods select ModelInfo Tests3 diffs lsmeans; run; %mend; Now I am a bit confused as I can't find a way to look at CS*Grp_cat interaction with dunnett adj, which would be really valuable for me. Is there a way to look at interaction using Dunnett in SAS? Thank you for your time!
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