Sample size calculations for studies designed to evaluate diagnostic test accuracy

DOI10.1198/108571107X177519zbMath1306.62220MaRDI QIDQ2259644

Adam J. Branscum, Wesley O. Johnson, Ian A. Gardner

Publication date: 5 March 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

zbMATH Keywords

predictionsensitivityspecificityBayesian modelingWinBUGSscreening tests

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items (2)

A Bayesian approach to sample size determination for studies designed to evaluate continuous medical tests ⋮ Bayesian sample size determination for binary regression with a misclassified covariate and no gold standard

Uses Software

• R
• S-PLUS
• WinBUGS
• EmBedBUGS

Cites Work

• Bayesian Approaches to Modeling the Conditional Dependence Between Multiple Diagnostic Tests
• Sample Size Calculations for Surveys to Substantiate Freedom of Populations from Infectious Agents
• Correlation-Adjusted Estimation of Sensitivity and Specificity of Two Diagnostic Tests
• Bayesian Sample Size Determination for Prevalence and Diagnostic Test Studies in the Absence of a Gold Standard Test
• A Cautionary Note on the Robustness of Latent Class Models for Estimating Diagnostic Error without a Gold Standard
• Sampling-Based Approaches to Calculating Marginal Densities
• Estimating the Error Rates of Diagnostic Tests

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