Development of a diagnostic nomogram for alpha-fetoprotein-negative hepatocellular carcinoma based on serological biomarkers

Table 4 Performance of models for alpha-fetoprotein-negative hepatocellular carcinoma

Model performance measures				CK18-M65
	Model 1	Model 2	Model 3
	CK18-M65, GP73, DCP	CK18-M65, GP73	CK18-M65, DCP
AIC	41	44	65	70.5
Mean absolute error	0.016	0.018	0.03	0.022
Mean squared error	0.00048	0.00039	0.00125	0.00049
0.9 Quantile of absolute error	0.031	0.025	0.047	0.023
C statistic	0.951 (0.916-0.986)	0.946 (0.913-0.979)	0.931 (0.89-0.97)	0.906 (0.864-0.948)
P value	< 0.001	< 0.001	< 0.001	< 0.001
IDI (95%CI), %	1 (Reference)	0.0036 (-0.0239-0.031)	0.186 (0.1223-0.2496)	0.0721 (0.0363-0.1079)
P value		0.79	< 0.001	< 0.001
NRI (95%CI), %
Categorical	1 (Reference)	0.04 (-0.0101-0.0901)	0.287 (0.1484 - 0.4246)	-0.0019 (-0.0698-0.0661)
P value		0.12	< 0.001	0.96
Continuous	1 (Reference)	-0.2326 (-0.5166-0.0515)	0.866 (0.6135 - 1.1186)	0.8781 (0.6227-1.1336)
P value		0.11	< 0.001	< 0.001

AIC: Akaike information criterion; IDI: Integrated discrimination improvement; NRI: Net reclassification improvement.