Alpha adjustment in higher order crossover [Power / Sample Size]

posted by d_labes  – Berlin, Germany, 2018-02-01 15:01 (3066 d 21:28 ago) – Posting: # 18322
Views: 26,862

Dear Helmut,

❝ Be aware that simultaneous comparisons inflate the Type I Error (the patient’s risk). I guess that in your first design you will not compare the two test treatments but only T1 vs. R1, T1 vs. R2, T2 vs. R1, and T2 vs. R2. With these k=4 comparisons (each performed at the nominal α 0.05) the Familywise (Type I) Error Rate will be 1–(1–α)k≤18.55%. Bonferroni’s adjusted α will be α/k or 0.0125 which translates into a 100(1–2α/k) or 97.5% two-sided confidence interval whilst keeping the FWER with 1–(1–α/k)k≤4.91% below the nominal α 0.05. The lower α will substantially increase the sample size ...


Also you may be correct I must confess that I seldom or never had done this alpha-adjustment in case I used a higher order design. Reasons:


Regards,

Detlew

Complete thread:

UA Flag
Activity
 Admin contact
23,655 posts in 4,993 threads, 1,570 registered users;
373 visitors (0 registered, 373 guests [including 19 identified bots]).
Forum time: 13:30 CEST (Europe/Vienna)

Ignorance more frequently begets confidence
than does knowledge.    Charles Darwin

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