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

posted by Rosy – Mexico, 2019-02-20 18:14 (2161 d 13:57 ago) – Posting: # 19942
Views: 11,647

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:

UA Flag
Activity
 Admin contact
23,363 posts in 4,906 threads, 1,679 registered users;
208 visitors (0 registered, 208 guests [including 6 identified bots]).
Forum time: 08:11 CET (Europe/Vienna)

The combination of some data and an aching desire
for an answer does not ensure that a reasonable answer
can be extracted from a given body of data.    John W. Tukey

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