jag009
★★★

NJ,
2013-02-18 19:14
(4864 d 05:08 ago)

(edited on 2013-02-18 22:35)
Posting: # 10051
Views: 5,718
 

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

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
Helmut
★★★
avatar
Homepage
Vienna, Austria,
2013-02-19 17:07
(4863 d 07:15 ago)

@ jag009
Posting: # 10060
Views: 4,736
 

 dfs?

Hi John,

My knowledge of SAS is limited. I expect PROC GLM to drop all incomplete sequences whereas PROC MIXED keeps them. Have a look at your example; I guess the mixed model has more degrees of freedom.

Dif-tor heh smusma 🖖🏼 Довге життя Україна! [image]
Helmut Schütz
[image]

The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
jag009
★★★

NJ,
2013-02-19 21:22
(4863 d 03:00 ago)

@ Helmut
Posting: # 10065
Views: 4,626
 

 dfs?

Hi Helmut,

Yes that's correct. GLM drops them whereas MIXED keeps them.

John
UA Flag
Activity
 Admin contact
23,653 posts in 4,991 threads, 1,570 registered users;
102 visitors (0 registered, 102 guests [including 19 identified bots]).
Forum time: 01:22 CEST (Europe/Vienna)

I have never in my life learned anything
from any man who agreed with me.    Dudley Field Malone

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