Table 4: Observed and estimated frequencies and standardized residual for 16 combinations estimated by the Latent Class Analysis (LCA) model that better fits data (2LC) for diagnosis of significant fibrosis ()and cirrhosis ().

TEAPRIELFLBSignificant fibrosis ()Cirrhosis ()
ObservedEstimatedStandardized residualObservedEstimated

11112017.15843.973
111022.790109.516
110113.96900.236
110020.70600.688
10111819.61832.956
101045.62677.642
100185.34710.176
1000109.78754.813
011111.42900.356
011010.29721.119
010000.35200.021
010100.29922.090
001132.50300.265
0010109.5791010.173
000133.62500.016
00003433.9157372.960

2LC, two latent class; TE, transient elastography; APRI, aspartate-to-platelet-ratio-index; ELF, enhanced liver fibrosis; LB, liver biopsy. 0, negative; 1, positive. Latent Class Analysis considered models that data better fitted for diagnosis of significant fibrosis [ of 9.9504 ( value = 0.1268)/Bayesian information criteria = −18.6226] and cirrhosis [ of 5.6494 ( value = 0.4636)/Bayesian information criteria = −22.9237].