Latent Class Analysis Identification of Syndromes in Alzheimer's Disease: A Bayesian Approach
نویسنده
چکیده
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.
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تاریخ انتشار 2006