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Given that some abuse characteristics are interrelated, our multivariate models will have allowed only the unique contributions of variables to emerge.
The summations are considered as contributions of variables.
The contributions of variables to the second axis are variable, including both positive and negative trends.
As the variables were divided into categories, the contribution of each variable was generated by adding up contributions of variables within each category.
As the variables were divided into four groups (income, need variables, other variables and residual term), the contribution of each variable-group was generated by adding up contributions of variables within each group (as show in Figure 1 and 2).
Further, as with all statistical significance, it is unclear what the relationship is between the statistical and clinical significance of the findings and it is often difficult to separate out the unique contributions of variables which may be related, such as age and co-morbidity.
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Differences in patterns of association across rural urban strata may be explained through differing contributions of variable loadings.
We used a step-wise variable removal procedure to build a parsimonious model and to rank contribution of variables in our final model.
Determining the contribution of variables from stations surrounding a pivot station to variables at the pivot station is very important for many purposes.
PCA of the normalized variables was performed to extract significant PCs and to further reduce the contribution of variables with minor significance.
By weighting input variables in x with ω, the contribution of variables with non-significant factors to the inner product in Eq. (5) is diminished.
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