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Table 6 Random forest model results for tissue and saliva samples using either mgmiRs and demographic variables or the mgmiRs alone

From: Methylated genomic loci encoding microRNA as a biomarker panel in tissue and saliva for head and neck squamous cell carcinoma

Model AUC % (95% CI) Sensitivity % [median (2.5–97.5%)] Specificity % [median (2.5–97.5%)] PPV NPV
Tissue
 mgmiRs and demographics 98.9 (97.1–100) 96.3 (90.7-100) 96.7 (90.0-100) 98.2 93.8
 mgmiRs 99.4 (98.6–100) 93.7 (87.3–98.4) 100 (100–100) 100 88.2
Saliva
 mgmiRs and demographics 93.8 (87.3–100) 85.7 (71.4–96.4) 94.4 (86.1–100) 93.3 90.0
 mgmiRs 93.5 (87.2–99.7) 78.6 (60.7–92.9) 100 (100–100) 100 85.7
  1. Univariate and multivariable logistic regression with dichotomized variables