Latent class analysis of subjects enrolled in ARMA at day 3
| N Classes | BIC | Entropy | Number assigned to each subphenotype | P value* | |||
| Class 1, n (%) | Class 2, n (%) | Class 3, n (%) | Class 4, n (%) | ||||
| 1 | 29 865 | 458 | |||||
| 2 | 29 303 | 0.83 | 321 (70) | 137 (30) | 0.14 | ||
| 3 | 28 557 | 0.90 | 319 (70) | 133 (29) | 6 (1) | 0.24 | |
| 4 | 28 452 | 0.92 | 301 (66) | 84 (18) | 67 (15) | 6 (1) | 0.80 |
*P value represents the Vuong-Lo-Mendell-Rubin (VLMR) test, which tests if k classes confer an improved model fit over k-1 classes.
Entropy, an index ranging between 0 and 1, which indicates separation of classes.
BIC, Bayesian information criteria, a measure of model fit.