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

posted by Helmut Homepage – Vienna, Austria, 2018-05-23 10:40 (1294 d 09:50 ago) – Posting: # 18802
Views: 3,507

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 [msg]this thread[/msg], 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.



Dif-tor heh smusma 🖖
Helmut Schütz
[image]

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

Complete thread:

Activity
 Admin contact
21,788 posts in 4,557 threads, 1,548 registered users;
online 15 (0 registered, 15 guests [including 6 identified bots]).
Forum time: Tuesday 19:31 CET (Europe/Vienna)

A big computer, a complex algorithm and a long time
does not equal science.    Robert Gentleman

The Bioequivalence and Bioavailability Forum is hosted by
BEBAC Ing. Helmut Schütz
HTML5