Don’t use the formula by Chow, Shao, Wang! [Power / Sample Size]
Hi, Helmut
Thank you for such a comprehensive answer.
It's good that now we will know about this.
❝ Stop using the formula given by Chow, Shao, Wang! Sample sizes are way too small – which compromises power. If you used it in the past for 80% power – if all assumptions (CV, θ0) turned out to be “correct” – substantially more than 20% of studies should have failed. If not, you were lucky!
Thank you for such a comprehensive answer.
It's good that now we will know about this.
Complete thread:
- sample size in bioequivalence studies daryazyatina 2017-08-03 09:34 [Power / Sample Size]
- sample size in bioequivalence studies BE-proff 2017-08-03 09:55
- sample size in bioequivalence studies daryazyatina 2017-08-03 10:08
- sample size in bioequivalence studies ElMaestro 2017-08-03 10:17
- sample size in bioequivalence studies daryazyatina 2017-08-03 10:58
- sample size in bioequivalence studies DavidManteigas 2017-08-03 12:40
- sample size in bioequivalence studies daryazyatina 2017-08-03 13:46
- Don’t use the formula by Chow, Shao, Wang! Helmut 2017-08-03 15:37
- Don’t use the formula by Chow, Shao, Wang!daryazyatina 2017-08-03 15:52
- Don’t use the formula by Chow, Shao, Wang! DavidManteigas 2017-08-03 16:12
- Don’t use the formula by Chow, Shao, Wang! Helmut 2017-08-03 16:33
- Don’t use the Book by Chow, Shao, Wang! d_labes 2017-08-16 16:01
- compromised power Helmut 2017-08-03 16:04
- compromised power daryazyatina 2017-08-04 08:15
- terminology Helmut 2017-08-04 12:41
- terminology daryazyatina 2017-08-16 10:12
- terminology Helmut 2017-08-16 18:54
- terminology daryazyatina 2017-08-16 10:12
- terminology Helmut 2017-08-04 12:41
- compromised power daryazyatina 2017-08-04 08:15
- sample size in bioequivalence studies DavidManteigas 2017-08-03 12:40
- sample size in bioequivalence studies daryazyatina 2017-08-03 10:58
- sample size in bioequivalence studies balinskyi 2018-06-03 12:58
- sample size in bioequivalence studies BE-proff 2017-08-03 09:55