Full ACK [Power / Sample Size]

posted by d_labes  – Berlin, Germany, 2017-12-28 18:41 (2304 d 20:11 ago) – Posting: # 18116
Views: 33,112

Dear David,

❝ In this case, given your simulations above and the expected probability of approximately 12% of the studies having power greater then 95% having in consideration the initial assumptions, post hoc power means nothing.


Full ACK.
But not only in this case, also in other cases. The concept of post-hoc power is flawed by its own.

❝ But if you had 100 studies instead and 90% of the had >95% power although the sample size was calculated assuming expected power of 80%, some questions and conclusions might be drawn from those results, don't you think? From my understanding of the initial question, this was the case found. So I think that they should start by reviewing how they define their assumptions for the sample size, namely why they assume GMR=1.10 instead of the "normal" 0.95/1.05.


Again: Full ACK.

Regards,

Detlew

Complete thread:

UA Flag
Activity
 Admin contact
22,988 posts in 4,825 threads, 1,654 registered users;
94 visitors (1 registered, 93 guests [including 6 identified bots]).
Forum time: 15:52 CEST (Europe/Vienna)

The whole purpose of education is
to turn mirrors into windows.    Sydney J. Harris

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