Sample size, ratio, CV ↔ power [Power / Sample Size]
Hello!
Is this always true? Or better, in which cases this isnt true? What could be the reason? Namely I saw a case with lower limit of 90% CI of 102.3% and p-value for treatment effect of 0.055.
So based on 90% CI, treatment effect should be significant but here it isnt
BEQool
❝ A significant treatment effect will show up in all studies where the confidence interval does not include unity.
Is this always true? Or better, in which cases this isnt true? What could be the reason? Namely I saw a case with lower limit of 90% CI of 102.3% and p-value for treatment effect of 0.055.
So based on 90% CI, treatment effect should be significant but here it isnt

BEQool
Complete thread:
- Significance The Outlaw Torn 2012-11-20 07:56 [Power / Sample Size]
- Significance ElMaestro 2012-11-20 08:17
- Significance The Outlaw Torn 2012-11-20 08:55
- Quality vs. Clinical ElMaestro 2012-11-20 09:04
- Significance The Outlaw Torn 2012-11-20 08:55
- Sample size? Helmut 2012-11-20 20:10
- Sample size? The Outlaw Torn 2012-11-21 07:52
- Sample size? The Outlaw Torn 2012-11-22 10:55
- Sample size, ratio, CV ↔ power Helmut 2012-11-22 13:35
- Sample size, ratio, CV ↔ power The Outlaw Torn 2012-11-23 14:47
- Sample size, ratio, CV ↔ powerBEQool 2025-01-31 13:12
- Sample size, ratio, CV ↔ power Helmut 2012-11-22 13:35
- Sample size calculation using Marzo and Balant method kumarnaidu 2013-01-31 07:48
- Marzo / Balant formula d_labes 2013-01-31 10:05
- Marzo / Balant formula kumarnaidu 2013-01-31 10:54
- Marzo / Balant formula kumarnaidu 2013-02-04 05:48
- Marzo / Balant formula for parallel groups d_labes 2013-02-04 08:44
- Marzo / Balant formula kumarnaidu 2013-02-04 05:48
- Marzo / Balant formula kumarnaidu 2013-01-31 10:54
- Marzo / Balant formula d_labes 2013-01-31 10:05
- Significance ElMaestro 2012-11-20 08:17