Proc Mixed: random repeated parallel FDA [Design Issues]

posted by jag009  – NJ, 2013-04-08 17:36 (4458 d 15:01 ago) – Posting: # 10370
Views: 8,107

Hi Detlew,

❝ The following code seems to work (gives 2 variance parameters) but has to be verified / validated:

Proc mixed data=s1;

❝   class subject trt;
❝   model lcmax=trt / ddfm=satterth;
❝   repeated trt / group=trt;
❝   estimate 'T vs R' trt 1 -1/ cl alpha=0.1;

❝ run;


Enlight me guru. Why the need for a repeated trt/group=trt statement though?
We are looking at a parallel study design whereby two groups of subjects are given either T or R in the 1 study period.

Personally I don't see what additional variability(ies) one can extract from a parallel study other than inter-subject CV since we don't give the drugs to the same person twice. The use of total variability (intra and inter) to compute the sample size I guess is just to cover all ground and increase the level of comfort (My old friend always told be liberal on sample size estimation, but then be rational)... Maybe I am wrong and still need to understand more...

Thanks
John

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