BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
AgReseach7
Obsidian | Level 7

Recent trial evaluated each indivdual treatment vs. a control. Seems that adjust=simulate is for all possible comparisons, Dunnett seems to be needed for control vs. each trt. However, is it inappropriate to use simulate if not all-pairwise comparisons? Reason I'm asking is to see if I need to re-run the analysis using Dunnett. Some of the analysis is on blood serum to detect various enzymes that define toxicosis in lambs. Thus, don't want to report "no differences" if there really were but the simulation adjustment was too agressive. Hopefully that makes sense. 

PROC MIXED;

CLASS TRT DAY ID;

MODEL serum = TRT|DAY / DDFM = KR SOLUTION;

REPEATED DAY/SUBJECT=ID TYPE = UN;

LSMEANS TRT|DAY / DIFF ADJUST=SIMULATE (REPORT SEED=121211) cl adjdfe=row  SLICE=(DAY TRT);

RUN;QUIT;

1 ACCEPTED SOLUTION

Accepted Solutions
Travis2
Calcite | Level 5

I think this pdf "Computation of pvalues for Multiple Comparisons with a Control in the SAS System" will answer your question.

http://analytics.ncsu.edu/sesug/2000/p-906.pdf

View solution in original post

1 REPLY 1
Travis2
Calcite | Level 5

I think this pdf "Computation of pvalues for Multiple Comparisons with a Control in the SAS System" will answer your question.

http://analytics.ncsu.edu/sesug/2000/p-906.pdf

sas-innovate-2024.png

Available on demand!

Missed SAS Innovate Las Vegas? Watch all the action for free! View the keynotes, general sessions and 22 breakouts on demand.

 

Register now!

What is ANOVA?

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.

Discussion stats
  • 1 reply
  • 1956 views
  • 1 like
  • 2 in conversation