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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 ...
Bayesian and pseudo-likelihood interval estimation for comparing two Poisson rate parameters using under-reported data.
We present interval estimation methods for comparing Poisson rate parameters from two independent populations with under-reported data for the rate difference and the rate ratio. In addition, we apply the Bayesian paradigm ...
Bayesian approach to inference and variable selection for misclassified and under-reported response models.
Response partial missingness is a problem in studies conducted in a variety of disciplines. We investigate the impact ignoring response partial missingness has on determining a subset of significant covariates in non-linear ...