type known.designs() in PowerTOST [Study As­sess­ment]

posted by Rosy – Mexico, 2019-02-20 17:14 (942 d 01:27 ago) – Posting: # 19942
Views: 7,849

Hi Helmut :)

A vs B ----> IC (84.9-106) ----> 19.16
A vs C ----> IC (169-211) -----> 19.16
B vs C ----> IC (178-222) -----> 19.07


If i assume a 3x3 design, i will have a %CV of each comparation after calculation (100*CVfromCI(lower=1.69, upper=2.11, n=17, design='3x3), that is almost the same in each case, that is consider the intra-individual variability of the drug to calculate a sample size for a 2x2 study?

Complete thread:

Activity
 Admin contact
21,691 posts in 4,534 threads, 1,541 registered users;
online 2 (0 registered, 2 guests [including 2 identified bots]).
Forum time: Sunday 19:41 CEST (Europe/Vienna)

If you want to get people to believe
something really, really stupid,
just stick a number on it.    Charles Seife

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