Sample size taking into account SbF [Power / Sample Size]

posted by junhao – China, 2016-07-14 07:54 (3133 d 17:03 ago) – Posting: # 16489
Views: 6,339

Dear Detlew,

Thank you for your reply!

❝ Don't invest too much in understanding or verifying this table.

❝ It shows sample sizes for the so-called "individual bioequivalence" in which the SbF (subject by formulation) interaction, your σD, plays a prominent role. "Individual bioequivalence" is nowadays history only.


But when we assume different between-subject variation for T and R, σD is never gonna be 0, and I right? I am not interested in the old-fashion "Individual Bioequivalence" either, but in the RSABE context, we are assuming same between-subject variation for T and R so that σD could be 0?

❝ The code of PowerTOST is open source, means you can inspect it, either in the source code tar-ball or even without that, just typing

library(PowerTOST)

power.RSABE

❝ At the very beginning of the code there is an expression s2D <- 0. Guess what it means :-D.


I will try it out. Thank you for the information.

❝ Unfortunately this link doesn't function since some time ago. Further I couldn't find the reference at other places of the Inder-nett. Drop me a mail and I can send you a backup copy of this technical report. BTW: It has two parts.


Thank you and I would appreciate your help!

Junhao//

Complete thread:

UA Flag
Activity
 Admin contact
23,379 posts in 4,913 threads, 1,661 registered users;
87 visitors (0 registered, 87 guests [including 18 identified bots]).
Forum time: 23:58 CET (Europe/Vienna)

Science is what you know.
Philosophy is what you don’t know.    Bertrand Russell

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