LCMATE -- Latent Class Models for the Accuracy of Tests


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LCMATE: Latent Class Models for the Accuracy of Tests

This is a mailing list for people that are interested in the development and application of latent class models (LCMs) for the evaluation of diagnostic tests, primarily within a Bayesian framework. The focus is on estimating the diagnostic accuracy of tests (either dichotomous, ordinal or continuous) in the absence of a gold standard. LCMs are used within this context because the true disease status of the individuals/samples is unknown (i.e. latent, or hidden).

The scope of this list is to:
1. Assist researchers that are interested in the application of these methods to their own data
2. Promote the exchange of knowledge and ideas between researchers working in this area

To see the collection of prior postings to the list, visit the LCMATE Archives.

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