power.inf() [BE/BA News]

posted by d_labes  – Berlin, Germany, 2012-10-09 10:50 (5013 d 03:13 ago) – Posting: # 9351
Views: 14,890

Hi Gents!

❝ Of course conventional sample size estimation will not work. Maybe Detlew can consider adding sampleN.inf() to PowerTOST. :-D


Bug or a feature? :cool:
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 :-D.

Regards,

Detlew

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