Sample size, alpha, beta, beta/2 and that all [General Sta­tis­tics]

posted by d_labes  – Berlin, Germany, 2015-02-05 10:31 (4152 d 21:36 ago) – Posting: # 14376
Views: 11,677

Dear Astea,

don't fiddle too much with the formulas given by Chow, Wang and who ever co-authors. There are many typing errors or hidden, not explained assumptions in the mentioned paper and book.

IMHO the only correct way to estimate the sample size is 'brute force', i.e. choose a sample size, estimate power and than iterate sample size until desired power is reached.

All other ways are more or less approximations to tackle the problem avoiding the not so easy power calculations. But in the ages where PowerTOST is available there is no need for such approximations :-).

These attempts are only useful for obtaining a reasonable start value for 'brute force'. As such they are used within PowerTOST.
Have a look at

Paul Zhang (2003)
"A Simple Formula for Sample Size Calculation in Equivalence Studies"
Journal of Biopharmaceutical Statistics, 13:3, 529-538


to get the formulas used (including z1-ß or z1-ß/2 and such things).

Regards,

Detlew

Complete thread:

UA Flag
Activity
 Admin contact
23,655 posts in 4,993 threads, 1,570 registered users;
145 visitors (0 registered, 145 guests [including 15 identified bots]).
Forum time: 09:07 CEST (Europe/Vienna)

I have finally come to the konklusion
that a good reliable set ov bowels
iz worth more to a man
than enny quantity of brains.    Josh Billings

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