CV (lin/log) [Power / Sample Size]

posted by Helmut Homepage – Vienna, Austria, 2008-04-02 15:10 (6662 d 04:35 ago) – Posting: # 1749
Views: 10,018

(edited on 2008-04-16 10:30)

Dear Sasikumar!

❝ 1. CV=100*((Sqrt(MSE)/µR)

❝ 2. CV=(Sqrt(exponent(MSE)-1))

❝ I hope that first one will be used if data is without log transformation and latter one will be used if data is log transformed.


Both your assumptions are correct!

❝ I have doubt whether both formula giving the same result or different?


Results most likely will be different.
The former is based on the assumption of a normal distribution, the latter on the assumption of a lognormal distribution.
In the context of BE testing, there's a general consensus that concentration-based data (AUC, Cmax) follow a lognormal distribution; therefore the first second formula (after ANOVA of log-transformed data - multiplicative model) should be used.
Amount-based data (Ae: cumulative amount excreted) follow a normal distribution (additive model); therefore the first one should be used.


Edit: Wrong statement (first) corrected to 'second' for lognormal data.

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