CV from CI [Power / Sample Size]

posted by Helmut Homepage – Vienna, Austria, 2018-02-05 12:39 (3054 d 03:04 ago) – Posting: # 18346
Views: 9,102

Hi Louis,

❝ 1. Presumably, n1 and n2 are form the previous study, right?


As already explained these are the number of subjects / sequence (TR or RT). If known, fine. The calculated CV will be exact (to the numeric precision of the input). If unknown (rarely given in the literature) use the total number of subjects N and split it in such a way that the study is as balanced as possible. If the study was more unbalanced than assumed you will get a CV which is higher than the true one. Since this is conservative you will be one the safe side basing your sample size estimation on it (see there for an example).

❝ 2. Where 0.91 and 1.15 are coming from? Did you select them just as an example or there is a particular reason?


What do you think the word example in

■ Example: 90% CI [0.91 – 1.15], N 21 (n1 = 11, n2 = 10)

in this presentation means?

Dif-tor heh smusma 🖖🏼 Довге життя Україна! [image]
Helmut Schütz
[image]

The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes

Complete thread:

UA Flag
Activity
 Admin contact
23,654 posts in 4,992 threads, 1,571 registered users;
145 visitors (0 registered, 145 guests [including 10 identified bots]).
Forum time: 16:43 CEST (Europe/Vienna)

Scientists often have a naïve faith that
if only they could discover enough facts about a problem,
these facts would somehow arrange themselves
in a compelling and true solution.    Theodosius Dobzhansky

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