marginally significantP = .050
Hierarchical logistic regression models, adjusting for significant (age, P < .05) or marginally significant (sex and education, P = .050 and P = .053, respectively) covariates, assessed the biomarkers’ contribution to explain GCF deficit or AUD presence ( supplementary Methods 1.7 ), alongside receiving operating characteristic (ROC) curve analysis.