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This bivariate procedure was performed on all possible ROI pairs such that Granger influences were computed in both directions for all ROI pairs (Brovelli et al. 2004).
Thus, the bivariate procedure is directional in that a CAST subscale could be used as the selection variable and a Conners ADHD subscale used as the outcome variable, and vice versa.
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This analysis will use both bivariate procedures (χ test and analysis of variance) as well as multivariate ones.
The evaluation of the DCE involved descriptive methods (frequency tables, statistics of distribution), bivariate procedures (cross tables, comparisons of means, ANOVA), and complex multivariate procedures (factor analysis [PCA], probit models, logit models).
The system of equations from the theoretical model building in the above equations will then be anticipated using a bivariate probit procedure.
For the calculation of Pearson correlation coefficients (SPSS bivariate correlation procedure) log-transformed T-cell subset percentages were used.
The Pearson correlation coefficients (r) of amino acids frequency data from the three kingdoms was computed by Bivariate Correlations procedure of software SPSS 13.0, at significance level 0.01 and 0.05.
The association between risk factors and fall-related injuries was analysed using the two-sided Pearson chi-square test (p value < 0.05) and the bivariate correlation procedure (Spearman's rho coefficient) for the unadjusted univariate analysis.
Correlations were determined with bivariate correlations procedures (Pearson's correlation coefficient, p<0.05).
The correlations were determined with bivariate correlation procedures (Spearman correlation coefficient, p < 0.05).
Second, event-type specific synthetic design hydrographs are constructed using the pooled data divided by event type from the corresponding reactivity region in a bivariate index flood procedure.
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