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Correlations between variables were calculated with Spearman test.
Multiple and simple logistic regressions between variables were calculated.
Correlations between variables were calculated with Spearman's correlation coefficient or Kendall's tau for non-parametric correlations.
Correlations between variables were calculated as Spearman or Fischer correlations depending on the distribution of observations.
Relations between variables were calculated using linear or multiple regression analysis.
Simple associations between variables were calculated as the Spearman coefficient of correlation.
Similar(50)
The minimal redundancy between variables is calculated by finding the mutual information scores between variables.
Association between variables was calculated by Spearman Rank Order Correlations.
Effect modification between variables was calculated by means of dummy variables as proposed by Rothman (27).
Relationship between variables was calculated using the Spearman correlation coefficient (indicated as R in the text).
The relationship between variables was calculated using Pearson's or Spearman's correlation coefficient, whichever appropriate.
More suggestions(17)
between attributes were calculated
between measures were calculated
between parameters were calculated
between varieties were calculated
between variables was calculated
between hormones were calculated
between accessions were calculated
between datasets were calculated
between networks were calculated
between variables were compared
between elutions were calculated
between variables were investigated
between variables were assessed
between variables were declared
between variables were found
between variables were tested
between isolates were calculated
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