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Table 1 Model-based performance measures (Multivariable models)

From: A comparison of statistical methods for the detection of hepatocellular carcinoma based on serum biomarkers and clinical variables

Method (Model)1 AUC (95% CI) 2 ACC3 PPV4 NPV5 AIC6
stepPLR (λ = 0.1) (male only, with age) 0.96(0.94-0.98) 87.71 90.68 82.61 93.92
stepPLR (λ = 1) (male only, with age) 0.96(0.94-0.98) 89.30 92.31 84.29 94.84
stepPLR (λ = 10) (male only, with age) 0.96(0.94-0.98) 89.83 93.10 84.51 95.39
stepPLR (λ = 0.1) (male only, without age) 0.92(0.88-0.95) 83.42 88.59 75.34 135.39
stepPLR (λ = 1) (male only, without age) 0.92(0.88-0.95) 84.49 90.17 76.00 136.39
stepPLR (λ = 10) (male only, without age) 0.92(0.89-0.96) 84.49 90.90 75.32 134.57
stepPLR (λ = 0.1) (gender, with age) 0.95(0.93-0.98) 88.25 91.02 84.25 142.14
stepPLR (λ = 1) (gender, with age) 0.95(0.93-0.98) 88.63 91.61 84.40 142.48
stepPLR (λ = 10) (gender, with age) 0.95(0.93-0.97) 89.01 92.20 84.54 148.32
stepPLR (λ = 0.1) (gender, without age) 0.94(0.91-0.96) 85.61 89.54 80.18 173.22
stepPLR (λ = 1) (gender, without age) 0.94(0.91-0.97) 85.61 90.06 79.65 174.15
stepPLR (λ = 10) (gender, without age) 0.93(0.91-0.96) 85.23 90.54 78.44 180.61
mob(AAT|~.) with age, male only) 0.94(0.91-0.97) 87.29 89.65 83.07 131.68
mob(GP73|~.) with age, male only) 0.95(0.93-0.98) 87.87 91.89 81.42 108.96
mob(AFP|~.) with age, male only) 0.96(0.94-0.98) 89.50 90.67 87.30 103.38
mob(Kin|~.) with age, male only) 0.95(0.92-0.98) 86.74 88.24 83.87 117.63
mob(AAT|~.) without age, male only) 0.88(0.83-0.94) 84.49 87.50 79.10 157.50
mob(GP73|~.) without age, male only) 0.89(0.85-0.94) 80.21 83.61 73.84 153.01
mob(AFP|~.) without age, male only) 0.86(0.81-0.91) 79.14 81.74 73.77 169.15
mob(Kin|~.) without age, male only) 0.91(0.87-0.95) 88.23 89.43 85.93 140.17
mob(AAT|~.) with age, gender) 0.95(0.93-0.97) 87.50 90.38 83.33 171.96
mob(GP73|~.) with age, gender) 0.97(0.96-0.99) 90.90 91.41 90.09 124.26
mob(AFP|~.) with age, gender) 0.96(0.94-0.98) 87.87 89.93 84.76 159.88
mob(Kin|~.) with age, gender) 0.95(0.93-0.97) 89.01 88.23 90.42 155.18
mob(AAT|~.) without age, gender) 0.91(0.88-0.95) 85.98 88.13 82.69 197.87
mob(GP73|~.) without age, gender) 0.94(0.91-0.96) 85.33 92.36 78.06 177.11
mob(AFP|~.) without age, gender) 0.92(0.89-0.95) 85.22 87.50 81.73 190.61
mob(Kin|~.) without age, gender) 0.92(0.88-0.95) 87.87 88.48 86.86 192.78
  1. 1. Method utilized for analysis, stepPLR stepwise penalized logistic regression with or without age and/or gender, mob model-based CART, classification and regression trees developed with or without age and/or gender; 2) AUC, area under the curve; 3) ACC, prediction accuracy. 4) PPV, Positive predicative value; 5) NPV, negative predictive value; 6) AIC, Akaike Information Criterion