A Model for a Binary Response with Misclassifications
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TL;DR
The model is illustrated using a subset of the well-known coal-miners data and the EM-algorithm and GLIM is used for estimation and the connection to latent structure models is discussed.
Abstract
Observations on a binary response may be subject to misclassification. A linear logit model for the true binary response is specified and estimated jointly with the error probabilities for the two types of misclassification. The model is illustrated using a subset of the well-known coal-miners data. The problem is formulated as an incomplete data problem and the EM-algorithm and GLIM is used for estimation. The connection to latent structure models is discussed.