Oops! [Two-Stage / GS Designs]

posted by d_labes  – Berlin, Germany, 2011-02-07 17:29 (5249 d 05:19 ago) – Posting: # 6569
Views: 27,020

Dear Helmut,

❝ good question, next question!


It was the best question I had at moment :-D. But may be later on I have some better.

❝ ... No idea how Potvin et al. got their values.


According to their formula given in paragraph 2.3 they use the approximation via central shifted Student's t-distribution, shortly described in the accompanying material of package PowerTOST.
Check it via the undocumented and hidden function :cool:
.approx2.power.TOST(alpha=0.05, se=sqrt(0.020977), diffm=log(0.95),
                    ltheta1=log(0.8),ltheta2=log(1.25), n=12, df=10, bk=2)
>[1] 0.8412397
.approx2.power.TOST(alpha=0.0294, se=sqrt(0.020977), diffm=log(0.95),
                    ltheta1=log(0.8),ltheta2=log(1.25), n=12, df=10, bk=2)
>[1] 0.7561472


But what you discuss was not my point, I think. Or was your first sentence already the answer?
I need to know the power of Potvin B/C if I assume 'true' GMR=1.08, 'true' CV = 0.3 for instance. What to do with the steps in the decision scheme which were done in Potvin et.al. with GMR=0.95?
Stay with 0.95 or replace with 1.08?

Regards,

Detlew

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