(182 d 16:43 ago)
Posting: # 23518
I am a complete beginner in BEQ field and lately I have been going through this forum a lot and have learned so much and I would like to thank you all for contributing to thorough explanations and interesting discussions.
Regarding my question, I was calculating confidence intervals in R using package PowerTOST and function
Notice that CI for n=27 are the same as for n=c(13.5,13.5), however the correct CI should probably be the same as for n=c(14,13). Not big of a difference, however it could be relevant in some cases?
I am sorry if this has already been discussed before, I went through forum and havent found anything relevant.
(182 d 15:07 ago)
Posting: # 23519
❝ […] I would like to thank you all for contributing to thorough explanations and interesting discussions.
Welcome (also in the name of other members of the forum).
❝ […] I was calculating confidence intervals in R using package PowerTOST and function
Oops – THX for discovering a bug! We will correct the function and update the package as soon as possible.
BTW, the problem applies not only to odd total sizes:
The more imbalanced the design gets, the wider the CI. When we implement ‘best guess’ sequence-/group-sizes like in the other functions, it will still be what it says: A guess (trying to keep the design as balanced as possible).
If you give the total sample size, you will always get the first row of the data frame above, i.e.,
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
The quality of responses received is directly proportional to the quality of the question asked. 🚮
(179 d 21:09 ago)
Posting: # 23521
Great, thank you for additional explanation as well!