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In order to correct for tied values in the dataset, we applied the R function Kendall [ 25] to compute the rank correlation based on Kendall's tau and its p-value when using the traditional rank correlation test.
The first component is shown to equal the Friedman rank statistic corrected for ties.
The χ 2 statistic is corrected for ties.
We also assessed the relationship between paternal age and variance in gene expression using Spearman rank correlation (Spearman rho = −.274, rho corrected for ties = −.281, p = .04, p corrected for ties = .036).036
P-values corrected for ties are reported.
All the calculations were corrected for ties (Fig. 1).
p-Values corrected for ties in rank are reported for these analyses as "tied p-values".
The Spearman rank correlation (corrected for ties) was used to assess monotonic relationships between continuous variables.
Our overall judgment of methodological quality was not related to I2 (P = 0.26, Mann-Whitney test for trend corrected for ties, grouping I2 into intervals of 10%).
As datasets were determined to be significantly different from a Gaussian distribution using the Shapiro-Wilk test, nonparametric tests corrected for ties were used.
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CEO of Professional Science Editing for Scientists @ prosciediting.com