Latent class and finite mixture models for multilevel data sets

• Published in: Statistical methods in medical research Vol. 17; no. 1; pp. 33 - 51
• Main Author: Vermunt, Jeroen K
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.02.2008; Sage Publications Ltd
• Subjects: Algorithms; Anti-Bacterial Agents - therapeutic use; Bayes Theorem; Epilepsy - therapy; Finite Element Analysis; Humans; Intelligence Tests; Maximum likelihood estimation; Mixtures; Models, Statistical; Parameters; Poisson Distribution; Random effects; Variants

An extension of latent class (LC) and finite mixture models is described for the analysis of hierarchical data sets. As is typical in multilevel analysis, the dependence between lower-level units within higher-level units is dealt with by assuming that certain model parameters differ randomly across...