Bioequivalence and Bioavailability Forum • two-stage design power 90% in sample size adaption

two-stage design power 90% in sample size adaption [Two-Stage / GS Designs]

posted by ElMaestro – Denmark, 2012-08-02 18:59 (4707 d 21:22 ago) – Posting: # 9025
Views: 14,990

HYvonne,

❝ So as what I understand, you need to calculate your sample size in the second stage with an alpha < 0.0294 to control alpha inflation. But how far should we decrease (most likely dependent on the CV in the first stage) and is it accepted to decrease alpha in stage 2 (and thus deviate from potvin method C)?

You can with quite some likelihood pick any alpha you like at the second stage as long as your qualify (simulations!) that the overall alpha stays at or below 0.05. It comes down to the specific numbers you have.

—
Pass or fail!
ElMaestro

Complete thread:

two-stage design power 90% second stage Yvonne 2012-08-02 09:50 [Two-Stage / GS Designs]
- two-stage design power 90% second stage ElMaestro 2012-08-02 10:17
  - two-stage design power 90% second stage Yvonne 2012-08-02 11:47
    - two-stage design power 90% second stage ElMaestro 2012-08-02 11:54
- two-stage design power 90% in sample size adaption d_labes 2012-08-02 10:33
  - two-stage design power 90% in sample size adaption ElMaestro 2012-08-02 11:29
    - two-stage design power 90% in sample size adaption Yvonne 2012-08-02 12:06
      - two-stage design power 90% in sample size adaptionElMaestro 2012-08-02 16:59
- Are simulations sufficient? …lenghty post! Helmut 2012-08-02 17:39
  - adjusted alpha = 0.045 d_labes 2012-08-03 11:33
    - adjusted alpha = 0.038 Helmut 2012-08-03 14:26
      - adjusted alpha by sims? d_labes 2012-08-03 15:48
        
        Yeah but, no but, yeah but, no but… Helmut 2012-08-03 16:39
        
        Yeah but, no but ... d_labes 2012-08-07 14:42
        
        Yeah but, no but ... Helmut 2012-08-07 15:14