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RegisterPower in case of a 3-arm BE study [Power / Sample Size]
Dear Louis,
Have a look at this post and links there in.
And use the search button to find more discussions about that topic.
The need of an alpha adjustment (f.i. by Bonferroni method) is discussed in this post. It depends on your overall hypothesis, as described in the mentioned discussions.
If such an alpha-adjustment is necessary it can be done quite easily in
❝ For a 3 arm (Ref, Test1, Test2) study what is the power adjustment necessary in order to get an overall power of 90%. Let's say by using a Bonferroni method. Can it be done directly in PowerTost? This is in order to find the 'right' sample size.
Have a look at this post and links there in.
And use the search button to find more discussions about that topic.
The need of an alpha adjustment (f.i. by Bonferroni method) is discussed in this post. It depends on your overall hypothesis, as described in the mentioned discussions.
If such an alpha-adjustment is necessary it can be done quite easily in
PowerTOST. Just change the alpha argument in the function sampleN.TOST() as needed.—
Regards,
Detlew
Regards,
Detlew
Complete thread:
- Power in case of a 3-arm BE study Louis52 2018-11-14 22:40
![[Mix]](https://static.bebac.at/img/mix.png "open in Mix view")
- Power in case of a 3-arm BE studyd_labes 2018-11-15 13:58
- Power in case of a 3-arm BE study Louis52 2018-11-15 15:32
- PowerTOST and 3-way parallel group BE study d_labes 2018-11-15 19:14
- PowerTOST and 3-way parallel group BE study Louis52 2018-11-15 20:52
- PowerTOST and 3-way parallel group BE study d_labes 2018-11-15 23:54
- PowerTOST and 3-way parallel group BE study Louis52 2018-11-15 20:52
- PowerTOST and 3-way parallel group BE study d_labes 2018-11-15 19:14
- Power in case of a 3-arm BE study Louis52 2018-11-15 15:32
- Power in case of a 3-arm BE studyd_labes 2018-11-15 13:58
Ing. Helmut Schütz