Table 3: Competitive comparison of latent classes models for assessment of liver fibrosis by noninvasive methods [TE, APRI, and ELF] and liver biopsy.

ModelModel specificationSignificant fibrosis ()Cirrhosis ()
( value)BIC ( value)

2LC9.9504 (0.1268)5.6494 (0.4636)
2LC with direct effect between TE and APRI7.9601 (0.0931)4.7289 (0.3163)
2LC with direct effect between TE and ELF7.9397 (0.0938)5.4854 (0.2410)
2LC with direct effect between APRI and ELF6.2539 (0.1810)0.1466 (0.9988)

LC, latent class; , likelihood squared; BIC, Bayesian information criterion; TE, transient elastography; APRI, aspartate-to-platelet-ratio-index; ELF, enhanced liver fibrosis. 2LC was the model that data better fits for estimation of significant fibrosis and cirrhosis.