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Use frequentist and Bayesian methods to estimate parameters from a binary outcome misclassification model. These methods correct for the problem of "label switching" by assuming that correct outcome classification occurs in at least 50% of observations. A description of the analysis methods is available in Hochstedler and Wells (2023)
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