Output of sampleN.scABEL() - expanded limits ? [Power / Sample Size]
❝ ❝ In coding the function sampleN.scABEL.ad()
I tried to be more specific (see also my post below) and it gives for \(\small{CV_\textrm{wT}=CV_\textrm{wR}=0.3532}\):
Regulatory settings: EMA (ABEL)
❝ ❝ Expanded limits : 0.7706 ... 1.2977
❝ ❝ Upper scaling cap : CVwR > 0.5
...❝ The Expanded limits are only valid if the CV's are exactly the assumed ones.
❝ They don't play any role during the simulations because the expansion applied depends on the CVwR of actual study, gradually different from study to study of the simulation.
Of course, you are right.
❝ That was the reason why the ugly programmer of the function sampleN.scABEL()
abstain from giving that numbers .
Don’t know which one of us is uglier. Beauty lies in the eye of the beholder. When it comes to coding, I’m notorious for producing ‘Spaghetti viennese’. I decided to give the expanded limits because in the simulations of the empiric Type I Error
theta0
is set to the upper one.Dif-tor heh smusma 🖖🏼 Довге життя Україна!
Helmut Schütz
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- Sample size and Replicated studies Bebac user 2022-03-23 09:38 [Power / Sample Size]
- Sample size and Replicated studies dshah 2022-03-23 11:30
- Output of sampleN.scABEL() Helmut 2022-03-23 12:43
- Output of sampleN.scABEL() - expanded limits ? d_labes 2022-03-23 16:33
- Output of sampleN.scABEL() - expanded limits ?Helmut 2022-03-23 16:45
- Output of sampleN.scABEL() dshah 2022-03-23 18:08
- Don’t use FARTSSIE for SABE Helmut 2022-03-23 19:42
- Output of sampleN.scABEL() - expanded limits ? d_labes 2022-03-23 16:33
- Output of sampleN.scABEL() Helmut 2022-03-23 12:43
- Sample size larger than clinical capacity Helmut 2022-03-23 11:43
- Sample size and Replicated studies Brus 2022-03-23 14:25
- Sample size and Replicated studies dshah 2022-03-23 11:30