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In this paper, we suggest and demonstrate how to use the false discovery rate (FDR) in evaluating I(1)/I 0) classifications.
To avoid to be extremely restrictive, in this study we use the false discovery rate (FDR) [17] as multiple hypothesis test correction.
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The resulting p-values were corrected by using the false discovery rate41.
Enrichment/depletion was calculated based on p-value corrected using the false discovery rate (FDR).
Genovese, C. R., Lazar, N. A. & Nichols, T. Thresholding of statistical maps in functional neuroimaging using the false discovery rate.
Due to the number of comparisons, we calculated a corrected p-value (q-value) using the false discovery rate.
The proportions of wild, feral, and hybrid were tested with separate models, and p-values were adjusted using the false discovery rate62.
Specifically we have used the false discovery rate correction.
We used the false discovery rate to correct for thisi.
We calculated odds ratios (ORs) with 95% confidence intervals (CIs) using the logistic regression model and used the false discovery rate (FDR) method for correction of multiple testing.
We controlled for multiple testing using the false discovery rate test [FDR, 41], [42].
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