Misclassification Adjustment

Material related to the manuscript "Bayesian adjustment for exposure misclassification in case-control studies" by Chu, Gustafson, and Le.

DatSimult.R simulates datasets;

BayesMisc.R calls valdes.R to produce point and interval estimators;

valdes.R generates posterior samples for parameters (SN_i, SP_i, r0, r1);

flow.R calls the above function to generate results on simulated datasets.

mydat_hi.rda and mydat_lo.rda are simulated data files given high or low exposure prevalences.

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