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The collinearity of the variables was present and assessed by Spearman's rank correlation analysis.
As the mediation-adjusted effects account for the collinearity of the variables, the presence of a trend after correcting for these effects indicates the presence of at least one missing variable that impacts telomere length and has some relationship with time.
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The PLS framework compresses the original input and output variables into latent subspaces of the lower dimension, in which the collinearity of the original variables and the noise is eliminated.
The largest variance inflation factor of the variables included in the model was 1.948, indicating the collinearity of these variables was not severe.
When we put significant individual variables with type of school, we could observe that type of school was not significant due to the collinearity of these variables.
Many cross-sectional studies have reported heterogeneity in the effects of age and FAB, and it is possible that re-analysis of their data using this method accounting for PBY and the collinearity of these variables would clarify these relationships.
In order to check the collinearity of variables, we calculate the variance inflation factor (VIF) value of the independent variables.
An initial full model, Table 5, containing all variables was reduced to three separate models, Table 6, due to the significantly high collinearity of the variables 'including any type of specialist', 'including a biostatistician', and 'including an epidemiologist/clinical trials methodologist'.
As many of the identified risk factors are correlated with one another, collinearity of the variables may have biased our inferences.
The collinearity of variables used in the statistical analyses was examined by calculating variance inflation using linear regression analysis, and no significant collinearity was found (variance inflation <2.5).
Because these parameters are considered during the classification of the histotype of phyllodes tumors, we did not include them in the multivariate analysis to minimize the collinearity of variables that were included in the final model.
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