Relevant: The PK metric with highest CV [Power / Sample Size]

posted by Helmut Homepage – Vienna, Austria, 2018-05-23 08:40  – Posting: # 18802
Views: 1,383

Hi libaiyi,

» I want to ask about power calculation. In BE, Cmax, AUCt, and AUCinf are all needed for power consideration. […] But AUCinf and AUCt are highly correlated,

AUC and Cmax are (highly?) correlated as well.

» […] so could I […] only consider about AUCt and Cmax for the power setting?

If you think about sample size estimation I would go a step further and consider only the PK metric with the highest variability, which generally* is the one of Cmax (see this thread, linked other posts, and references). You could use function power.2TOST() of the R-package PowerTOST to explore various correlations (ρ). This issue is a little bit academic because ρ is rarely known.



Cheers,
Helmut Schütz
[image]

The quality of responses received is directly proportional to the quality of the question asked. ☼
Science Quotes

Complete thread:

Activity
 Mix view
Bioequivalence and Bioavailability Forum |  Admin contact
19,267 posts in 4,098 threads, 1,314 registered users;
online 7 (0 registered, 7 guests [including 4 identified bots]).

That which is not controversial
is of no particular interest.    Johann Wolfgang von Goethe

The BIOEQUIVALENCE / BIOAVAILABILITY FORUM is hosted by
BEBAC Ing. Helmut Schütz
HTML5