Proc Mixed or Proc GLM for > 2 treatment crossover? [General Sta­tis­tics]

posted by jag009  – NJ, 2013-02-18 19:14 (4866 d 01:52 ago) – Posting: # 10051
Views: 5,720

(edited on 2013-02-18 22:35)

Hi biostat experts,

Is there a significant difference between using PROC GLM or PROC MIXED for 3-way (2T vs R), 4-way (3T vs R) and 5-way crossover studies (4T vs R) when 1) all subjects completed the study, 2) not all subjects completed all treatment arms in a study.

Would there be an issue if I elect to go PROC GLM all the way? My feeling is to go with PROC MIXED for >2 treatments since the chance of unbalanced could happen due to subject dropouts (correct me if I am wrong).

Update: I did a comparison in SAS with PROC GLM and PROC MIXED using n=24 unbalanced 4-way study data (3T vs R) with some subjects missing from certain treatments. I just ran Ln(Cmax).

PROC GLM (Ratios; 90%CI)
T1 vs R: 1.0089; 0.9035-1.1264
T2 vs R: 0.9584; 0.8580-1.0203
T3 vs R: 0.8701; 0.7788-0.9713

PROC MIXED (Ratios; 90%CI)
T1 vs R: 1.0094; 0.9030-1.1273
T2 vs R: 0.9646; 0.8606-1.0812
T3 vs R: 0.8710; 0.7798-0.9728

Thanks
John

Complete thread:

UA Flag
Activity
 Admin contact
23,654 posts in 4,992 threads, 1,571 registered users;
119 visitors (0 registered, 119 guests [including 10 identified bots]).
Forum time: 22:06 CEST (Europe/Vienna)

Always listen to experts.
They’ll tell you what can’t be done and why.
Then do it.    Robert A. Heinlein

The Bioequivalence and Bioavailability Forum is hosted by
BEBAC Ing. Helmut Schütz
HTML5