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Power analyses were not performed for secondary measures.
All differences have been evaluated statistically, e.g. using receiver-operator characteristics (ROC) and power analyses.
They can be analyzed through Fourier and power analyses, and other methods.
A hypothetical clinical trial study design and power analyses are presented based on these data.
Monte Carlo simulations provide an alternative and a validity check for software power analyses.
Power analyses confirm the generally good power properties of the test design.
When designing a study, the planned sample size is often based on power analyses.
A-priori power analyses are only accurate when the effect size estimate is accurate.
Power analyses indicated these finding were not merely the result of inadequate power.
Based on our observations, we recommend against the use of η2 in a-priori power analyses.
One way to choose an effect size for power analyses is by relying on pilot data.
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