Reference-scaling: USE PowerTOST [Power / Sample Size]

posted by Astea – Russia, 2017-12-01 15:16 (2309 d 22:50 ago) – Posting: # 18031
Views: 14,388

Dear Helmut!

Thank you for enlightening this question!

The advantage of R is doubtless. I just wanted to show FARTSSIE not worser than other rude methods of sample size estimation (remember nomogram and so on).

(Sorry, I've made a mistake in the previous post, the data from the paper refers to partial replicate design 2x3x3.)

By the way, for extreme numbers from the paper by Endrényi L, Tóthfalusi L. we also get slightly underpowered study:

power.scABEL(CV=0.8,n=54,theta0=0.95,design="2x3x3")
[1] 0.79917
power.scABEL(CV=0.8,n=72,theta0=0.9,design="2x3x3")
[1] 0.79782

"Being in minority, even a minority of one, did not make you mad"

Complete thread:

UA Flag
Activity
 Admin contact
22,957 posts in 4,819 threads, 1,636 registered users;
119 visitors (0 registered, 119 guests [including 5 identified bots]).
Forum time: 14:07 CET (Europe/Vienna)

With four parameters I can fit an elephant,
and with five I can make him wiggle his trunk.    John von Neumann

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