Bayesian regression models adjusting for unidirectional covariate misclassification

DOI10.1002/cjs.11284zbMath1357.62137OpenAlexW2339680408MaRDI QIDQ5507354

Paul Gustafson, Michelle Xia

Publication date: 19 December 2016

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.11284

zbMATH Keywords

Markov chain Monte Carlopartial identificationunidirectional misclassificationBayesian regression models

Mathematics Subject Classification ID

Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Related Items (5)

Bayesian adjustment for unidirectional misclassification in ordinal covariates ⋮ Multivariate Poisson model adjusting for unidirectional covariate misrepresentation ⋮ Parameter restrictions for the sake of identification: is there utility in asserting that perhaps a restriction holds? ⋮ FREQUENTIST INFERENCE IN INSURANCE RATEMAKING MODELS ADJUSTING FOR MISREPRESENTATION ⋮ Two-part models for assessing misrepresentation on risk status

Uses Software

• WinBUGS

Cites Work

• Unnamed Item
• Partial identification of probability distributions with misclassified data
• On model expansion, model contraction, identifiability and prior information: two illustrative scenarios involving mismeasured variables
• Consistency of maximum likelihood and Bayes estimates
• Partial identification of probability distributions.
• Bayesian variable selection for Poisson regression with underreported responses
• Bayesian sensitivity analyses for hidden sub-populations in weighted sampling

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