A Bayesian approach for analyzing a cluster-randomized trial with adjustment for risk misclassification

DOI10.1016/j.csda.2007.03.015zbMath1284.62393OpenAlexW1995457412MaRDI QIDQ1020645

Roslyn A. Stone, Dianxu Ren

Publication date: 2 June 2009

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

Full work available at URL: https://doi.org/10.1016/j.csda.2007.03.015

zbMATH Keywords

MCMCmisclassificationBayesian approachcluster-randomized trial

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15)

Related Items (3)

Bayesian correction for misclassification in multilevel count data models ⋮ Corrigendum ⋮ Corrigendum

Uses Software

• boa
• Stata
• GLLAMM
• BUGS
• BayesDA

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
• Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
• Approximate Inference in Generalized Linear Mixed Models
• Monte Carlo sampling methods using Markov chains and their applications

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