Bayesian sample size determination for case-control studies with misclassification

DOI10.1016/j.csda.2006.01.014zbMath1161.62345OpenAlexW1989701417MaRDI QIDQ1019928

James D. Stamey, Richard H. Gerlach

Publication date: 29 May 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.2006.01.014

zbMATH Keywords

sample size determinationmultiple samplingposterior approximation

Mathematics Subject Classification ID

Bayesian inference (62F15)

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Geometric sample size determination in Bayesian analysis ⋮ On Bayesian sample size determination ⋮ Editorial: Computational statistics within clinical research

Cites Work

• A simulation-based approach to Bayesian sample size determination for performance under a given model and for separating models
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• Optimal Predictive Sample Size for Case–Control Studies
• Bayesian Sample Size Determination for Prevalence and Diagnostic Test Studies in the Absence of a Gold Standard Test
• Statistical Methods for Rates and Proportions
• Matrix Methods for Estimating Odds Ratios with Misclassified Exposure Data: Extensions and Comparisons
• Bayesian Small-Sample Estimation of Misclassified Multinomial Data
• Bayesian Sample Size Determination for Estimating Binomial Parameters from Data Subject to Misclassification