Binomial regression with misclassification
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Updated: Jan 19, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Carlos Daniel Paulino1, Paulo Soares, John Neuhaus
1Instituto Superior Técnico, e Centro de Matemática e Aplicações, Universidade Técnica de Lisboa, Portugal. dpaulino@math.ist.utl.pt
Abstract:
Motivated by a study of human papillomavirus infection in women, we present a Bayesian binomial regression analysis in which the response is subject to an unconstrained misclassification process. Our iterative approach provides inferences for the parameters that describe the relationships of the covariates with the response and for the misclassification probabilities. Furthermore, our approach applies to any meaningful generalized linear model, making model selection possible. Finally, it is straightforward to extend it to multinomial settings.
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