Sentence examples for between two variables we from inspiring English sources

To explore associations between two variables, we used a chi-square test for categorical variables.

Using a Spearman's rank correlation to test the statistical dependence between two variables, we found that the number of adhesion-ringed invadopodia per cell significantly and positively correlated with ECM degradation area per cell on a cell-by-cell basis (Fig. 1D).

To model the cross variogram between the two variables, we can write γ Cxv L = C 0 xv + C 1 xv M Sa L. (7).

Lacking any correlation between the two variables, we can conclude that the original function was linear.

Because there were no significant differences between the two variables, we chose to analyze lifetime days of all pesticide use as a continuous variable.

Given the high correlation between the two variables, we did not adjust for AFSI in the AFP final model and vice versa.

As regards the interaction between these two variables, we found that polypharmacy was a stronger risk factor for falls in those with 0 or 1 chronic condition versus those with a higher number of diseases (we opted to measure the effect of polypharmacy, as this is the variable with more practical interest in terms of potential for prevention in this setting).

With regard to the relationship between the number of diabetes-related chronic complications and HRQoL, while Caldwell et al 27 reported no relationship between the two variables, we found that an increased number of complications was associated with worse HRQoL in all dimensions of SF-36 with the exception of bodily pain dimension.

Correlations between C-reactive protein (CRP) level and postoperative brain BNP level were analyzed using the Pearson rank correlation test (which measures the linear relationship between two variables), because we expected a linear relationship.

To accept that more than an association exists between two variables - as implied - we must be satisfied of the validity of the multivariate analysis.

Because the relationship between two variables was often non-linear, we used a regression method called LOWESS (local weighted scatter-plot smoother) [ 39] to obtain smooth curves which showed the mean tendency of dependence pattern between two variables.