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Exact(8)
We computed the redundancies and interactions between all variables in both survival types, as well.
We computed the redundancies and interactions between all variables in case of all sample groups.
Pearson's correlations between all variables in the regression model are presented in Table 3.
Pathways between all variables in the model were included to verify factors with no association.
Associations between all variables in the reduced model and attendance at follow-up colonoscopy are reported as prevalence ORs and 95% CIs.
Prior to analyses, collinearity between all variables in the regression analyses was checked by computing the Variance Inflation Factor (VIF) of each variable.
Similar(52)
Analyzing the correlation matrix between all the variables in the dataset in study, it is possible to verify that the variable space presents a significant degree of redundancy.
The differences between the clusters were investigated using a contribution plot, which showed the differences in scaled units between the highlighted groups for all variables in the model.
Correlation coefficients between all variables included in the analysis were calculated.
Table 4 provides correlations between all variables used in this study.
Table 1 reports pairwise correlations between all variables utilized in this work.
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