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However, the significance tests for the correlation coefficient can be developed by deriving its confidence interval according to Fisher's Z-transformation [ 46].
We used the Mantel tests to analyse Pearson's correlation between genetic and geographical distances; or partial Mantel tests for the correlation between genetic distance and the difference of principal component values by incorporating the geographical distance as a covariate.
Forty-four patients had given their consensus to undergo multiple CTC tests for the correlation between CTC changes and treatment response; one patient lacked paired CTC results notwithstanding he had initial CTC assessments and subsequent clinical and/or radiographic documentation of disease status, so he was excluded in the analysis.
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To address this issue, Linear Model (7) tests for the correlations between observed data and the ratio of the number of segregating sites after pruning data to that before pruning (Spruned/Stotal).
All components in LL subband are selected as non-zero components without testing for the correlation.
All elements in the LL3 subband are selected as non-zero elements without testing for the correlation.
They then test for jointness post hoc via hypothesis testing for the correlation parameter (rho) between the error terms of the simultaneous equations.
To detect significant similarity, we estimated two-sided P values by t-test for the correlation coefficient, and set α level at 0.05 with the Bonferroni correction dividing α by 4718.
A Pearson correlation coefficient and significance test for the correlation coefficient was calculated using SPSS 14.0.
We tested for the correlation of LP and eigenvectors using logistic regression since the response variable was dichotomous.
We used a linear model (LM) regression analysis to test for the correlation between traits in all sampled specimens.
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