Bayesian variable selection for logistic regression with a differentially misclassified binary covariate
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A Bayesian approach for variable selection is developed for use in models with a misclassified binary predictor variable. We define the main outcome model containing the latent predictor, the measurement model associated with the prevalence of the predictor, a... ...
