PROC GLM fixes Subject [🇷 for BE/BA]

posted by mittyri – Russia, 2016-11-05 00:00 (3024 d 11:00 ago) – Posting: # 16774
Views: 23,360

Dear Kumar,

I would cite one of our Gurus:
You will also see that in FDA's code for 222BE which is based on PROC GLM there is a random statement pertaining to subject. One should think this means we are now asking PROC GLM to add a random effect (and thus to analyse as a mixed model), perhaps. It doesnt, though. PROC GLM with the random statement for subject still treats subject as a fixed effect. The bogus statement achieves another goal and compares sequence against the subject MS

*--- GLM evaluation, output of T-R;
ODS output estimates=_est;
title "&file - GLM evaluation";
ods exclude  ExpectedMeanSquares;
Proc GLM data=PKmetric;
  class trt per seq subj;
  model logvar=trt per seq subj(seq)/CLparm alpha=&al2;
  random subj(seq)/test;
  estimate 'T-R' trt -1 1;
run; quit;

*--- back-transformation;
title "&file - &Ominus2al.% confidence intervals, back-transformed";
data _est;
  set _est;
  pe=exp(estimate);
  lower=exp(lowerCL);
  upper=exp(upperCL);
run;

Seems to be odd but here Subject is still fixed as ElMaestro wrote. So the experts are right (and ElMaestro too:-D)

Kind regards,
Mittyri

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