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Chunk #37 — 3. Results — 3.2. Correlations between Significant Variables and Age

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Random Forest Classification of Alcohol Use Disorder Using EEG Source Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures.
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Since age difference across the groups was statistically significant (p < 0.001), the association of age with important predictor variables were evaluated within each group using bivariate Pearson correlation and in the total sample using partial correlation adjusted for group effect (Table 4) as an exploratory (descriptive) analysis. It was found that the association of age with the top variables were neither robustly significant nor consistent across these variables. One single connection (R.PCC–L.PHG) showed significant correlation with age in total sample as well as within each group (but did not survive Bonferroni correction), while the vast majority of the significant variables had no association with age.