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We considered a correlation coefficient >0.6 as clinically relevant.
We considered a correlation higher than 0.95 indicating that the chains had sufficiently converged.
When maxilla alone was considered, a correlation between MBL and age was observed (P = 0.001), though no such correlation existed in the mandible.
We considered a correlation coefficient (r) of at least 0.5 to be important, and set a correlation coefficient of zero as a reference for our null hypothesis with alpha of 0.05.
We considered a correlation coefficient of 0.30 or greater to be clinically relevant based on the study of Wright and colleagues in which measurement of PP calculated from change in height of finger arterial pressure monitor waveforms was correlated with %PEF (r = - 0.31)[ 36].
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We consider a correlation attack, whose fundamental characteristic is to correlate multiple attack flows to generate synchronized small attack bursts, in an attempt to aggregate the bursts into a large burst at a target router.
We consider a correlation to be significant enough if the p-value is smaller than 0.1.
We shall consider a correlation to be good for all values over 0.8.
The method proposed by Wang et al. [ 13] considers a correlation score based on the most significant SNP of all the SNPs mapped to a given gene and uses a Kolmogorov-Smirnov like statistics for assessing enrichment.
Spearman rank correlation was used to correlate continuous variables; r s > 0.7 was considered a high correlation, 0.7 < r s > 0.5 a moderate correlation, and r s < 0.5 a low correlation.
In statistical research r <.30 is considered a small correlation,.30 < r <.50 a moderate correlation and r >.50 a strong correlation [ 18].
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