Binomial regression with a misclassified covariate and outcome

We present a novel Bayesian approach in binomial regression when both the outcome variable and one binary covariate are subject to misclassification. Extensive simulation results under various scenarios and a real clinical example are given to illustrate the proposed approach. This approach is motivated and applied to a dataset from the Baylor Alzheimer's Disease and Memory Disorders Center.
Source: Statistical Methods in Medical Research - Category: Statistics Authors: Tags: Articles Source Type: research