Molins et al. (2017) [RSABE / ABEL]
Hi Antigoni,
See also the function
Of course, such a conservatism comes with a price. The sample sizes can be prohibitively large.
❝ Many thanks dear Helmut!
See also the function
sample.size.adj()
in this article. It implements our method1,2 and a more conservative one.3,4Of course, such a conservatism comes with a price. The sample sizes can be prohibitively large.
method CVwT CVwR Target power Sample size Achieved power
EMA (2010) 0.4 0.4 0.9 42 0.90325
Labes and Schütz (2016) 0.4 0.4 0.9 44 0.90523
Molins et al. (2017) 0.4 0.4 0.9 78 0.90246
method alpha TIE
EMA (2010) 0.05000 0.05572
Labes and Schütz (2016) 0.04326 0.05000
Molins et al. (2017) 0.03061 0.05000
- Labes D, Schütz H. Inflation of Type I Error in the Evaluation of Scaled Average Bioequivalence, and a Method for its Control. Pharm Res. 2016: 33(11); 2805–14. doi:10.1007/s11095-016-2006-1.
- Assuming that the observed \(\small{CV_\text{wR}=}\) the true \(\small{CV_\text{wR}}\).
- Molins E, Cobo E, Ocaña J. Two-Stage Designs Versus European Scaled Average Designs in Bioequivalence Studies for Highly Variable Drugs: Which to Choose? Stat Med. 2017; 36(30): 4777–88. doi:10.1002/sim.7452.
- Assuming the ‘worst case’ \(\small{CV_\text{wR}=30\%}\) – irrespective of the observed \(\small{CV_\text{wR}}\) because the maximum inflation of the Type I Error is always at the switching \(\small{CV_\text{wR}=30\%}\) regardless the design and sample size.
—
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
Helmut Schütz
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
Helmut Schütz
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- ‘alpha’ of scaled ABE? d_labes 2013-03-15 15:56 [RSABE / ABEL]
- ‘alpha’ of scaled ABE? Helmut 2013-03-15 17:27
- ’alpha’ of scaled ABE: design d_labes 2013-03-16 20:10
- N=24, 48 d_labes 2013-03-18 08:11
- adaptive design without adjustment martin 2013-03-25 20:47
- α adjustment? Helmut 2013-03-26 15:21
- iteratively adjusted alpha martin 2013-03-26 16:19
- throw away our sample size tables? Helmut 2013-03-26 18:02
- if real martin 2013-03-26 19:44
- regulators don’t care? Helmut 2013-03-26 21:18
- adjusting α Helmut 2013-08-11 16:19
- missing letter apapanas 2024-10-31 06:02
- PowerTOST: sampleN.scABEL.ad() Helmut 2024-10-31 08:41
- PowerTOST: sampleN.scABEL.ad() apapanas 2024-11-08 10:48
- Molins et al. (2017)Helmut 2024-11-08 14:34
- PowerTOST: sampleN.scABEL.ad() apapanas 2024-11-08 10:48
- PowerTOST: sampleN.scABEL.ad() Helmut 2024-10-31 08:41
- missing letter apapanas 2024-10-31 06:02
- if real martin 2013-03-26 19:44
- target α in sim’s? Helmut 2013-03-27 15:38
- target α in sim’s? martin 2013-03-27 16:36
- If it is real: results Helmut 2013-03-28 23:20
- having alpha martin 2013-03-28 15:08
- fixed swr Helmut 2013-03-28 23:34
- fixed swr martin 2013-03-29 15:07
- Yes but no but yes but no but… Helmut 2013-03-29 16:10
- fixed swr martin 2013-03-29 15:07
- fixed swr Helmut 2013-03-28 23:34
- target α in sim’s? martin 2013-03-27 16:36
- throw away our sample size tables? Helmut 2013-03-26 18:02
- iteratively adjusted alpha martin 2013-03-26 16:19
- α adjustment? Helmut 2013-03-26 15:21
- adaptive design without adjustment martin 2013-03-25 20:47
- N=24, 48 d_labes 2013-03-18 08:11
- ’alpha’ of scaled ABE: design d_labes 2013-03-16 20:10
- ‘alpha’ of scaled ABE? Helmut 2013-03-15 17:27