Table 2. Statistical indices of fit of the latent cluster models of LBLP patients (n=609).
Number of clusters | BIC | Bootstrapped parametric LRT p value |
Entropy | Smallest sample size a (%) |
---|---|---|---|---|
2 | 12101.838 | <0.001 | 0.714 | 281 (46.3) |
3 | 12005.723 | <0.001 | 0.738 | 147 (24.1) |
4 | 11951.353 | <0.001 | 0.728 | 121 (19.9) |
5 | 11941.422 | <0.001 | 0.742 | 69 (11.3) |
6 | 11974.379 | <0.001 | 0.791 | 51 (8.4) |
7 | 12002.221 | <0.001 | 0.802 | 24 (3.9) |
BIC Bayesian Information Criteria; LRT likelihood ratio test.
The number (proportion) of patients in the smallest class; at least 5% of sample should be in each class. The bold text indicates the model selected as having the optimal number of clusters