power.inf() [BE/BA News]
Hi Gents!
Bug or a feature?
Code from this thread (replacing the calls to internal PowerTOST functions to PowerTOST:::func_to_call, f.i.
.
❝ Of course conventional sample size estimation will not work. Maybe Detlew can consider adding sampleN.inf() to PowerTOST.
Bug or a feature?

library(PowerTOST)
power.noninf(alpha=0.05, CV=0.298, margin=0.8, theta0=0.752, n=276)
# [1] 0.7998162
power.noninf(alpha=0.05, CV=0.298, margin=0.8, theta0=0.752, n=278)
# [1] 0.8023374❝ But leaving power aside and assuming that we can exactly reproduce the ratio (75.2%) and CV (29.8%) of Cmax it would need 227 (!) subjects in order to squeeze the upper CL below 80% ...
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
.—
Regards,
Detlew
Regards,
Detlew
Complete thread:
- Bupropion ER Tablets Helmut 2012-10-05 15:59 [BE/BA News]
- 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
