post hoc power [Power / Sample Size]

posted by ElMaestro  – Denmark, 2015-07-01 22:08 (4002 d 13:58 ago) – Posting: # 15009
Views: 10,046

Hi VSL,

❝ It has been seen that In protocol, larger sample size is selected to just pass the study without any scientific justification or selecting high T/R in sample size calculation. Therefore, in many cases, post hoc power is more than 100% or nearly 100%. It is like forced bio-equivalence.

❝ Does regulator seek justification for this?


Power > 100% is a stretch :-D But I know what you mean - power is higher than it would perhaps need to be if you are content with e.g. the usual 80% or 90%. The study will likely pass if you have good control over the T/R. Power is the applicant's problem, usually. It is difficult to argue on basis of ethics and science that 85% power is OK while 95% power is not, or the other way around. And so forth.
You'll see that some companies do not feel extremely confident their true T/R is e.g. 0.95; it is the true T/R that determines power together with variability, yet true T/R is never known. Thus, there is a point in sometimes having a seemingly high samnple size when you are not totally in the driver's seat re. the T/R. And when the trial passes with flying colours and a T/R close to 1.0 then it looks like the trial was over-powered and in hindsight you're thinking sample size was way too high. But you didn't know that in advance, and therefore such a posthoc power consideration can be unjustified.
Remember that even after the trial the true T/R is not known.

Pass or fail!
ElMaestro

Complete thread:

UA Flag
Activity
 Admin contact
23,654 posts in 4,992 threads, 1,571 registered users;
138 visitors (0 registered, 138 guests [including 18 identified bots]).
Forum time: 12:06 CEST (Europe/Vienna)

Always listen to experts.
They’ll tell you what can’t be done and why.
Then do it.    Robert A. Heinlein

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