Table 3.
Model | Classes | AIC | BIC | Entropy | N_min | BLRT |
---|---|---|---|---|---|---|
1 | 2 | 8804 | 8873 | 0.799 | 0.324 | 0.01 |
1 | 3 | 8734 | 8829 | 0.789 | 0.216 | 0.01 |
1 | 4 | 8654 | 8775 | 0.728 | 0.193 | 0.01 |
1 | 5 | 8493 | 8640 | 0.796 | 0.119 | 0.01 |
Note. The table indicates that the CIDP model with five latent profiles exhibits lower AIC and BIC values, and a high entropy value, resulting in improved differentiation between profiles. The information criteria used are AIC (Akaike Information Criterion) and BIC (Bayesian Information Criterion). The BLRT-p (Bootstrapped Likelihood Ratio Test) was employed for comparison. Values highlighted in bold indicate the optimal model based on criteria used.