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Describes experiment-wise error rate and how to address it by taking a larger sample or reducing the number of analyses or reducing the significance level.
The probability of experiment-wise error is explored. Overall, the experiment-wise error rate is directly related to the test-wise error rate–the alpha level set by.
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(2003) provide single-step and step-down resampling-based multiple testing procedures that asymptotically control the family-wise error rate (FWER) for general.
In statistics, family-wise error rate (FWER) is the probability of making one or more false discoveries, or type I errors when performing multiple hypotheses tests
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B, Beta Error (Power = 1 – Beta Error): Beta error (or Type II error) is the probability that a test of statistical significance will fail to reject the null hypothesis when it.
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When a series of significance tests is conducted, the experimentwise error rate (EER) is the probability that one or more of the significance tests results in a Type.
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Mar 28, 2014. Figure 2: Family-wise error rate (FWER) methods such as Bonferroni's negatively affect statistical power in comparisons across many tests.
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The family-wise error rate of a multiple test φ is (for a given ϑ ∈ Θ ) defined as. error variance, where Σ only depends on the group-specific sample sizes; cf.,
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Jun 27, 2016. Abstract: This technical report revisits the analysis of family-wise error rates in statistical parametric mapping – using random field theory.