Fig. 1
From: Validating online approaches for rare disease research using latent class mixture modeling
Schematic of latent class mixture modeling for the CHH/KS cohort (n = 154). The latent categorical variable (i.e. distinct class) is measured by eight (y1–6, u1–2). Continuous variables are depicted by “y”, binary/categorical variables “u” and “ε” indicates error. The categorical variable “C” indicates the most likely class for each case based on conditional probabilities. Class membership can be modeled as a function of multiple characteristics (X). Class membership can be used to predict continuous and categorical (Y/U) variables