Bioequivalence and Bioavailability Forum • Relevant: The PK metric with highest CV

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

posted by libaiyi – China, 2018-05-24 12:02 (2527 d 05:19 ago) – Posting: # 18811
Views: 5,009

❝ 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.

❝

An early truncated partial AUC can be highly variable as well.

Hi Helmut,

Thank you for the reply. I am afraid that I did not state clearly. I still want to clarify do you mean that for the estimation of sample size, the power need to be calculated as:
Overall power = (power of AUC0 * power of AUCinf * power of Cmax)
like 0.8=（0.92*0.92*0.92）
And it could not be simplified as Overall power = (power of AUC0 * power of Cmax) to decrease power needed of each for the lack of ρ?

Thanks again.

Complete thread:

Power decrease for the highly correlation of AUCt and AUCinf libaiyi 2018-05-23 08:40 [Power / Sample Size]
- Relevant: The PK metric with highest CV Helmut 2018-05-23 10:40
  - Relevant: The PK metric with highest CVlibaiyi 2018-05-24 10:02
    - Power of 2 independent TOSTs ≈ 2 simultaneous TOSTs with ρ=0 Helmut 2018-05-24 12:54
      - Power of 2 independent TOSTs ≈ 2 simultaneous TOSTs with ρ=0 libaiyi 2018-05-30 03:24