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For nonparametric tests, log10 data were calculated from the values.
The association index (AI) represents the mean ratio of 100 bootstrap replicates of the association value calculated from the test sequences to those of species-reassigned controls from 200 permutations [79].
All correlations were calculated from means of values of tests duplicates in n = 87 patients with type 2 diabetes mellitus.
The relative quantification of each miRNA tested was calculated from Ct value, using the 2-ΔΔCt method.
The percent E6 E6AP binding was calculated from raw luminescent values for each test compound, and compounds that displayed 3 standard deviation units (∼50% inhibition) from the average of E6 E6AP binding in the presence of DMSO were assigned as active.
To adjust for multiple testing, Q-values were calculated from our P-values using the software QVALUE [ 70] and Q < 0.05 was considered significant.
This sample size was based on herd-level Se and Sp (calculated from pooled-test Se and Sp values determined in the validation study) [ 8], a herd-level prevalence based on a previous study of 73% [ 4], and a participation rate of 50% for farms enrolled in the study during a 10 week collection period.
To adjust for multiple testing, false discovery rate (FDR) q-values were calculated from the Wald test p-values, using Benjamin-Hochberg method.
Floor and ceiling values are presented in Table 3. * = p < 0.05; ** p < 0.01; *** p > 0.001 Mean differences and p-values calculated from t-test for independent samples Cronbach's alpha coefficient calculated for the total score of the PRWE was 0.97, i.e. it showed an excellent internal consistency.
P values were calculated from Wald tests.
The average values of fracture toughness were calculated from five tests.
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