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Register(1-2*alpha) CI [RSABE / ABEL]
Dear BE-prof!
A serious script should IMHO not have a hard coded alpha=0.05 or the other way round a hard coded 90% CI. But rather allow the specification of the alpha to use.
Have a look into the function
For a 92.18% CI specify alpha=(1-0.9218)/2=0.0391, give the point estimate, CV and number of subjects in your study and voila you get the 1-2*alpha CI.
Example:
Now compare this to the (widened) acceptance range to judge BE or not BE.
❝ Which R script should be used to assess BE in 92.18% CI?
A serious script should IMHO not have a hard coded alpha=0.05 or the other way round a hard coded 90% CI. But rather allow the specification of the alpha to use.
Have a look into the function
CI.BE() of the package PowerTOST.For a 92.18% CI specify alpha=(1-0.9218)/2=0.0391, give the point estimate, CV and number of subjects in your study and voila you get the 1-2*alpha CI.
Example:
CI.BE(alpha=(1-0.9218)/2, pe=1.1557, CV=0.3567, n=24, design="2x2")
lower upper
0.9609407 1.3899323
Now compare this to the (widened) acceptance range to judge BE or not BE.
❝ Afaik, "classic" BE is analysed in 90% CI. Correct? 
—
Regards,
Detlew
Regards,
Detlew
Complete thread:
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![[Mix]](https://static.bebac.at/img/mix.png "open in Mix view")
- Sample size estimation for iteratively adjusted α Helmut 2016-12-14 16:24
- Sample size estimation for iteratively adjusted α BE-proff 2016-12-14 19:43
- Sample size estimation for iteratively adjusted α BE-proff 2016-12-20 21:47
- (1-2*alpha) CId_labes 2016-12-21 11:15
- Script kiddy Helmut 2016-12-21 18:09
- (1-2*alpha) CId_labes 2016-12-21 11:15
- Sample size estimation for iteratively adjusted α Helmut 2016-12-14 16:24
Ing. Helmut Schütz