Symptoms and signs | Symptoms and signs with concomitant variables§ | |||||||
---|---|---|---|---|---|---|---|---|
Number of classes† | Log L | Number of parameters | BIC | p‡ | Log L | Number of parameters | BIC | p‡ |
LCA | ||||||||
1 class | −5060.161 | 14 | 10218 | |||||
2 classes | −4727.150 | 29 | 9657 | <0.001 | −4596.351 | 35 | 9438 | <0.001 |
3 classes | −4613.189 | 44 | 9535 | <0.001 | −4438.071 | 56 | 9269 | 0.003 |
4 classes | −4575.405 | 59 | 9564 | 0.966 | −4382.080 | 77 | 9304 | 0.770 |
†The italic font denotes the best models according to lowest BIC.
‡Lo-Mendell-Rubin likelihood ratio test of model fit to quantify the likelihood that the data can be described by a model with one-less class.
§A putative role of concomitant variables only exists in models with at least two latent classes, in which concomitants can influence the classification in different groups.
BIC, Bayesian information criteria; HF, heart failure; LCA, latent class analysis; Log L, log likelihood.