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Statistical analysis was performed using binary logistic regression using log transformed data for all non-parametric variables (SPSS).
The predictive model has been developed employing a binary logistic regression using the software R. The ROC curve was obtained (Fig. 126) and the model was calibrated using this graph.
Inferential statistics were also run for groups and overall sample (Chi-squared test, student's t-test, Pearson correlation, analysis of covariance, multiple regression analysis, binary logistic regression), using SPSS (Statistical Package for Social Sciences), and adopting a 5% significance level.
Binary logistic regression using PROC SURVEYLOGISTIC procedures (SAS Institute Inc).
p < 0.001, binary logistic regression using region 1 as the reference group.
Binary logistic regression using this cut-off, and other predictive variables, were used to create a predictive algorithm score.
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