Latent class analysis identification of syndromes in alzheimer's disease: a bayesian approachWalsh, Cathal D. (Avtor) Latent variable models have been used extensively in the social sciences. In this work a latent class analysis is used to identify syndromes within Alzheimer's disease. The fitting of the model is done in a Bayesian framework,and this is examined in detail here. In particular, the label switching problem is identified, and solutions presented. Graphical summaries of the posterior distribution are included.20062014-07-11 13:01:53Delo ni kategorizirano8446sl