Bayesian analysis of correlated misclassified binary data

DOI10.1016/j.csda.2004.07.004zbMath1429.62322OpenAlexW2050432467MaRDI QIDQ957287

Jorge Alberto Achcar, Giovani Loiola Silva, Carlos Daniel M. Paulino

Publication date: 26 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2004.07.004

zbMATH Keywords

random effectsBayesian inferenceMarkov chain Monte Carlo methodsmisclassificationbinary regression model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Related Items (9)

A Bayesian approach for misclassified ordinal response data ⋮ Bayesian misclassification and propensity score methods for clustered observational studies ⋮ Estimating mutual information for feature selection in the presence of label noise ⋮ Accounting for Response Misclassification and Covariate Measurement Error Using a Random Effects Logit Model ⋮ Marginal analysis of longitudinal ordinal data with misclassification in both response and covariates ⋮ On the estimation of the misclassification table for finite count data with an application in caries research ⋮ Addressing misclassification for binary data: probit and t-link regressions ⋮ Analysis of bivariate binary data with possible chances of wrong ascertainment ⋮ Skewed link-based regression models for misclassified binary data

Cites Work

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• Monte Carlo methods in Bayesian computation
• Binomial Regression with Misclassification
• Correlated Binary Regression with Covariates Specific to Each Binary Observation
• Sampling-Based Approaches to Calculating Marginal Densities
• Likelihood inference in a correlated probit regression model
• The Calculation of Posterior Distributions by Data Augmentation
• Bayesian Measures of Model Complexity and Fit

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