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Bayesian approaches to parameter estimation and variable selection for misclassified binary data.
Binary misclassification is a common occurrence in statistical studies that, when ignored, induces bias in parameter estimates. The development of statistical methods to adjust for misclassification is necessary to allow ...
Logistic regression with covariate measurement error in an adaptive design : a Bayesian approach.
Adaptive designs are increasingly popular in clinical trials. This is because such designs have the potential to decrease patient exposure to treatments that are less efficacious or unsafe. The Bayesian approach to ...