Numerical example [Two-Stage / GS Designs]

posted by ElMaestro  – Denmark, 2011-10-26 18:49 (4987 d 21:24 ago) – Posting: # 7550
Views: 18,712

Dear d_labes,

❝ Using the famous :cool: R-package PowerTOST we obtain:


That package is a great resource.

power.TOST(alpha=0.005, CV=0.2, theta0=0.95, n=24) -> 0.5489

power.TOST(alpha=0.048, CV=0.2, theta0=0.95, n=24) -> 0.8919


sampleN.TOST(alpha=0.005,CV=0.2,theta0=0.95) -> 36

sampleN.TOST(alpha=0.048,CV=0.2,theta0=0.95) -> 20


Hmmmm I get really uncertain now. I think you will hafta go with the 0.5489 value and procced to st. 2 with n=36 then?!?
I guess the real answer should come from a simulation of the scenario.

❝ If you use alpha1 in all steps except stage 2 BE evaluation you end in an study with n=36, highly overpowered.


Power 0.8919 is not so bad; it certainly looks within the range of commonly accepted values by ethics committees. Did you sim and check final power. It will be a little lower, won't it?

This isn't simple :confused:. Why don't we discuss method C in stead where the authors make a clear discussion between alpha1 and alpha2; it is for many practical purposes performing just like method B anyway, at least under the conditions tested by Potvin :-D.

And yeah, what the heck is wrong with the Danish people? What are they, nuts?

best regards,
em.

Complete thread:

UA Flag
Activity
 Admin contact
23,424 posts in 4,927 threads, 1,673 registered users;
58 visitors (0 registered, 58 guests [including 12 identified bots]).
Forum time: 16:13 CEST (Europe/Vienna)

Medical researches can be divided into two sorts:
those who think that meta is better and those
who believe that pooling is fooling.    Stephen Senn

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