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In the local test, the residual under test is excluded if the respective standardized residual exceeds the test threshold.
However, if only one permutation value exceeds the test statistic, more permutations are necessary to accurately determine the corresponding P-value.
If a test symptom severity is greater than the person′s level on the underlying trait or exceeds the test item symptom severity, less likely than not they will express the symptom.
Therefore, we applied the following strategy to approximate Pperm: for each gene, we generated permutation values until M, the number of permutation values that exceeds the test statistic, was >25.
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The company's well produced a steady flow of 6,000 barrels of high-quality crude per day, but the flow was intentionally limited to avoid exceeding the test facility's capabilities, Chevron spokesman Donald Campbell said.
If just 1 bootstrap statistic from the 1,000 simulated exceeded the test statistic from the real data, the comparison-wise p-value was determined to be 0.001
As before, significance is assessed non-parametrically by counting the number of randomized runs that equal or exceed the test statistic obtained using unscrambled data.
Let M be the number of permutation values that exceed the test statistic, i.e. (6) Note that [from (2)] M= NPecdf if we would exclude the pseudocount.
This criterion is based on the fact that the number of permutation values that exceed the test statistic follows a binomial distribution.
For example, when 50 out of the 100 permutation values exceed the test statistic, the test statistic is not in the tail of the distribution of permutation values and the GPD tail approximation is useless.
For example, if 600 of the 1000 permutation values exceed the test statistic, another 1000 permutations are not necessary, since the P-value can already be determined with great accuracy [ P = 0.6±0.016 according to (8)].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com