Confidence regions for repeated measures ANOVA power curves based on estimated covariance

Using covariance or mean estimates from previous data introduces randomness into each power value in a power curve. Creating confidence intervals about the power estimates improves study planning by allowing scientists to account for the uncertainty in the power estimates. Driving examples arise in many imaging applications. We use both analytical and Monte Carlo simulation methods. Our analytical derivations apply to power for tests with the...