power.inf() [BE/BA News]
Hi Detlew!
Feature! I didn’t realize that it’s possible to enter the house through the back door.
Of course one can cheat as well (exchanging the limit with the ratio):
Hhm, can you be a little bit more specific (= for dummies like me)?
❝ Bug or a feature?
power.noninf(alpha=0.05, CV=0.298, margin=0.8, theta0=0.752, n=277)
# [1] 0.8010803
Feature! I didn’t realize that it’s possible to enter the house through the back door.

sampleN.noninf(alpha=0.05, CV=0.298, theta0=0.8, margin=0.752)
++++++++++++ Non-inferiority test +++++++++++++
Sample size estimation
-----------------------------------------------
Study design: 2x2 crossover
log-transformed data (multiplicative model)
alpha = 0.05, target power = 0.8
Non-inf. margin = 0.752
Null (true) ratio = 0.8, CV = 0.298
Sample size (total)
n power
278 0.802337
❝ Code from this thread (replacing the calls to internal PowerTOST functions to PowerTOST:::func_to_call, f.i. PowerTOST:::.design.no(design)
) gives me 228
Hhm, can you be a little bit more specific (= for dummies like me)?
—
Dif-tor heh smusma 🖖🏼 Довге життя Україна!![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
![[image]](https://static.bebac.at/img/CC by.png)
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
![[image]](https://static.bebac.at/img/CC by.png)
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- Bupropion ER Tablets Helmut 2012-10-05 15:59
- Bupropion ER Tablets jag009 2012-10-05 22:30
- results, wording ElMaestro 2012-10-05 23:35
- Null hypothesis, PowerTOST/sampleN.inf() Helmut 2012-10-06 01:14
- Null hypothesis, PowerTOST/sampleN.inf() ElMaestro 2012-10-07 13:11
- power.inf() d_labes 2012-10-09 08:50
- power.inf()Helmut 2012-10-09 13:38
- power.inf() d_labes 2012-10-09 15:58
- power.inf() Helmut 2012-10-09 19:51
- power.inf() d_labes 2012-10-09 15:58
- power.inf()Helmut 2012-10-09 13:38
- Null hypothesis, PowerTOST/sampleN.inf() Helmut 2012-10-06 01:14