To whom it may concern [Two-Stage / GS Designs]

posted by d_labes  – Berlin, Germany, 2016-03-07 12:41 (3394 d 10:31 ago) – Posting: # 16064
Views: 10,537

Dear ElMaestro,

you are totally right IMHO.
The reason why statisticians (some of) are accepting simulations only for type II error are the different roles of power and type I error.

Ideal statistical tests meet the rule that type I error is <=0.05 or some other threshold agreed upon. Using simulations to determine this has the drawback that you only can show this for the scenarios you have simulated. Not for the general case. Therefore a proof assuring no alpha-inflation is preferred.

Power on the other hand is useful for planning purposes (only). No strict criterion has to be applied to this term in general.

Regards,

Detlew

Complete thread:

UA Flag
Activity
 Admin contact
23,424 posts in 4,927 threads, 1,674 registered users;
20 visitors (0 registered, 20 guests [including 13 identified bots]).
Forum time: 00:13 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