The perusal of effect sizes suggests that some studies might have been underpowered to detect significant group differences.
These observations emphasize that with our relatively small sample size, we might have been underpowered to detect some differences such as the P/F ratio variation.
However, there is tentative evidence that euthymic BD patients make more errors of commission in some tasks than controls but that some of the research has been underpowered to detect such an effect.
While VA ECMO was associated with more bleeding days in the univariate analysis, this association did not remain in the adjusted analysis; however, we may have been underpowered to detect a difference if one did exist.
Due to small numbers of horses, this study may have been underpowered to detect a true decrease in expression, and differences between therapies may have been more pronounced if this study had evaluated horses with systemic inflammation.
Furthermore, our small sample size would have been underpowered to detect small differences in expression.
Furthermore, despite using expression data from 400 LCLs, we may have been underpowered to detect relevant effects.
This study might have been underpowered to detect genes with smaller effects, since very large sample sizes are required to detect small effects using linkage analysis [45].
We also believe that the genetic associations that did not reach statistical significance in the replication study are noteworthy, but due to the sample size, may have been underpowered to detect subtle allelic associations.
This sample may have been underpowered to detect additional associations.
Additionally, given the small sample sizes, these studies may have been underpowered to detect an association.
