Bayesian model selection for logistic regression with misclassified outcomes

DOI10.1177/1471082X0700700303MaRDI QIDQ4970889

James D. Stamey, Richard H. Gerlach

Publication date: 7 October 2020

Published in: Statistical Modelling (Search for Journal in Brave)

zbMATH Keywords

logistic regressionmodel uncertaintymisclassificationmetropolis Hastings

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (7)

The need to conduct repeated classifications in a logistic regression model with misclassification in the dependent variable ⋮ A two-step anomaly detection based method for PU classification in imbalanced data sets ⋮ Bayesian analysis for matrix-variate logistic regression with/without response misclassification ⋮ Unnamed Item ⋮ Validation data-located modification for the multilevel analysis of miscategorized nominal response with covariates subject to measurement error ⋮ Bayesian variable selection for Poisson regression with underreported responses ⋮ Repeated responses in misclassification binary regression: A Bayesian approach

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• Theory & Methods: Bayesian variable selection in logistic regression: predicting company earnings direction
• Poisson Regression with Misclassified Counts: Application to Cervical Cancer Mortality Rates
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

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