Pearson correlations were used for the correlations between the attachment functions and the IOS scale, and
nonparametric correlations (Spearman's rho) were calculated for the correlations with the rank in the attachment hierarchy.
Using Kendall's τ,
a nonparametric correlation metric, we identified 1,304 transcripts that correlated significantly with body mass when the false discovery rate was held to 0.03.
Not exact matches
We used an analytical approach that calculated Kendall's τ, a
nonparametric, robust
correlation statistic for each gene in our data set.
To avoid potential problems of non-normality and sensitivity to outliers, we chose this
nonparametric approach over the standard Pearson
correlation coefficient (46).
In the appendix, they describe (without using this phrase) a
nonparametric bootstrap to estimate standard errors, but the method used is inappropriate in the presence of serial
correlation.