adjusted alpha = 0.038 [Two-Stage / GS Designs]
Dear Detlew!
More an educated guess. With n1 12 and CV 10% a study is already large enough (fixed sample design 98.8% power) and chances to require a second stage are very low. Since Methods C/D allow for stopping in stage 1 with a 90% CI in these methods αemp. ~ αnominal. In Method B we have to pay the penalty and αemp. ~ αadj.. That’s even more pronounced for higher n1 and the same CV (where <0.1% of studies reach stage 2). So why not increase the level of αadj.? 0.045 was a quick-shot – maybe one can even go to close <0.05.
I will try a more realistic example (n1 36, CV 30%; fixed design power 77.2% and 81.6% for n 40). With αadj. 0.0294 Potvin got αemp.: 0.0397 (B) and 0.0477 (C); studies in stage 2: 29.0% (B) and 22.7% (C).
106 sims of Method B with αadj. 0.0380 (= quick-shot obtained from 104 sims) are running…
BTW, where do you think Method B’s 0.0280 came from?
❝ Where did the αadj.=0.045 came from? Luckily guess? Or some Hermetism?
More an educated guess. With n1 12 and CV 10% a study is already large enough (fixed sample design 98.8% power) and chances to require a second stage are very low. Since Methods C/D allow for stopping in stage 1 with a 90% CI in these methods αemp. ~ αnominal. In Method B we have to pay the penalty and αemp. ~ αadj.. That’s even more pronounced for higher n1 and the same CV (where <0.1% of studies reach stage 2). So why not increase the level of αadj.? 0.045 was a quick-shot – maybe one can even go to close <0.05.
I will try a more realistic example (n1 36, CV 30%; fixed design power 77.2% and 81.6% for n 40). With αadj. 0.0294 Potvin got αemp.: 0.0397 (B) and 0.0477 (C); studies in stage 2: 29.0% (B) and 22.7% (C).
106 sims of Method B with αadj. 0.0380 (= quick-shot obtained from 104 sims) are running…
BTW, where do you think Method B’s 0.0280 came from?

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Dif-tor heh smusma 🖖🏼 Довге життя Україна!
![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
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The quality of responses received is directly proportional to the quality of the question asked. 🚮
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Complete thread:
- two-stage design power 90% second stage Yvonne 2012-08-02 09:50
- 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% second stage Yvonne 2012-08-02 11:47
- 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 adaption ElMaestro 2012-08-02 16:59
- two-stage design power 90% in sample size adaption Yvonne 2012-08-02 12:06
- two-stage design power 90% in sample size adaption ElMaestro 2012-08-02 11:29
- Are simulations sufficient? …lenghty post! Helmut 2012-08-02 17:39
- adjusted alpha = 0.045 d_labes 2012-08-03 11:33
- adjusted alpha = 0.038Helmut 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
- Yeah but, no but ... d_labes 2012-08-07 14:42
- Yeah but, no but, yeah but, no but… Helmut 2012-08-03 16:39
- adjusted alpha by sims? d_labes 2012-08-03 15:48
- adjusted alpha = 0.038Helmut 2012-08-03 14:26
- adjusted alpha = 0.045 d_labes 2012-08-03 11:33
- two-stage design power 90% second stage ElMaestro 2012-08-02 10:17