A Bayesian Adjustment for Covariate Misclassification with Correlated Binary Outcome Data

DOI10.1080/02664760701591895OpenAlexW2094014579MaRDI QIDQ5123338

Roslyn A. Stone, Dianxu Ren

Publication date: 28 September 2020

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

Full work available at URL: http://d-scholarship.pitt.edu/8646/1/thesis_ren.pdf

zbMATH Keywords

logistic modelMCMCmisclassificationBayesian approachrandom effect logistic model

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

Simultaneous inference of a misclassified outcome and competing risks failure time data ⋮ Bayesian sample size determination for binary regression with a misclassified covariate and no gold standard ⋮ Corrigendum ⋮ Corrigendum

Uses Software

• boa
• Stata
• GLLAMM
• Gibbsit

Cites Work

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• Inference from iterative simulation using multiple sequences
• Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
• Simulation Run Length Control in the Presence of an Initial Transient
• Sampling-Based Approaches to Calculating Marginal Densities
• Estimating the Error Rates of Diagnostic Tests
• The Effects of Misclassification on the Estimation of Relative Risk
• Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
• Correcting for Measurement Error in Individual‐Level Covariates in Nonlinear Mixed Effects Models
• Approximate Inference in Generalized Linear Mixed Models
• Bayesian Small-Sample Estimation of Misclassified Multinomial Data
• Monte Carlo sampling methods using Markov chains and their applications

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