BookmarkSubscribeRSS Feed
elmaghraby_m
Calcite | Level 5

I have data that is classified into 3 times (1-3) in each of 4 weeks (1-4) in a repeated measures design (5 subjects). (Total 3 times x 4 weeks = 12 mean values throughout the experiment)

I want to present lsmeans of the three times compared within each week.

For Bonferroni correction, which is correct; dividing p=0.05/3 = 0.0167 (three comparisons within a week; time1 vs. time2; time1 vs. time3; time2 vs. time3). Or, p=0.05/66 = 0.00076 (all possible comparison, which is not my aim).

 

The code I wrote was:

PROC MIXED DATA=HORMONES; CLASS BUCK WK TIME;

MODEL Trig = WK TIME WK*TIME;

REPEATED / SUBJECT=BUCK TYPE=AR(1);

LSMEANS WK*TIME/PDIFF; RUN;

Thank you.

1 REPLY 1
PGStats
Opal | Level 21

It might be simpler to output all uncorrected comparison results with ODS OUTPUT, eliminate unwanted comparisons and obtain the corrected p-values with PROC MULTTEST.

PG

hackathon24-white-horiz.png

The 2025 SAS Hackathon Kicks Off on June 11!

Watch the live Hackathon Kickoff to get all the essential information about the SAS Hackathon—including how to join, how to participate, and expert tips for success.

YouTube LinkedIn

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
  • 1466 views
  • 0 likes
  • 2 in conversation