Question about computing 90% CI w data from 2 separate studies [General Sta­tis­tics]

posted by jag009  – NJ, 2024-10-14 17:45 (269 d 16:05 ago) – Posting: # 24230
Views: 3,416

Hi BEQool,

>❝ I doubt that your model even gives you anything? Do you get any results?

Oh, I got a bunch of non-estimables because there were not enough degrees of freedom left. Obviously, I had more terms in the model than degrees of freedom. I think I got only the LSMeans of the 2 treatments, but nothing else could be estimated.

Thanks again for your feedback. I am going to try the following codes later today. What do you think?

PROC MIXED data=BEdata;
CLASSES SUBJECT TRT;
MODEL logval = TRT/ DDFM=SATTERTH;
RANDOM TRT/TYPE=FA0(2) SUB=SUBJECT G;
REPEATED/GRP=TRT SUB=SUBJECT;
ESTIMATE 'T vs. R' TRT 1 -1/CL ALPHA=0.1;
lsmeans TRT/ cl alpha=0.1; * <-- for parallel design studies, alpha=0.1;
ods output lsmeans=lsmeans;         * Least Squares means Output;
ods output covparms=covparms;       * Covariance output;
ods output estimates=ests;          * Estimate of differences between treatments;


Thx
J

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