Proc Mixed for a non-replicate design [Software]

posted by d_labes  – Berlin, Germany, 2010-03-26 09:48 (5924 d 06:16 ago) – Posting: # 4974
Views: 4,659

Dear Kev,

❝ Have a working SAS model for a replicate design, 2 treatments, 4 periods

❝ (each treatment is delivered twice).


:confused: What is your working model? FDA code?

❝ Now need to do followup analysis on the 4 individual treatment

❝ comparisons

❝ A1vA2

❝ B1vB2

❝ A1vB1

❝ A2vB2


Agree with Helmut. Seems to me not the right question within a replicate design.

If you really like to consider the two replicates of Test (A) and Reference (B) as distinct (but why?) you don't have a replicate design anymore.

It's then a 4-treatment-4-period-x-sequence design.

Have a look into some textbook to find out:
The model for the 4-treatment-4-period-whatever-sequence design is the same as for the usual 2x2 cross-over.

If you prefer Proc Mixed over Proc GLM (but beware of regulatory 'constraints' if your evaluation is deemed as submission to the EMA, see here):

Proc MIXED data=yourdata;
  class tmt sequence period subject;
  model logPK = tmt sequence period /ddfm=KR;
  random subject(sequence);
*The LSMeans statement will give you all comparisons you think you need;
  LSMeans tmt/diff CL alpha=0.1;
run;


But beware that you have coded your replicate treatments as A1,A2 and B1,B2 and your sequences accordingly.

[image] if you know ;-).

Regards,

Detlew

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