Likelihood-based confidence intervals for the risk ratio using double sampling with over-reported binary data

DOI10.1016/J.CSDA.2010.07.004zbMath1247.62102OpenAlexW1976208236MaRDI QIDQ452689

Dewi Rahardja, Dean M. Young

Publication date: 15 September 2012

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

Full work available at URL: https://doi.org/10.1016/j.csda.2010.07.004

zbMATH Keywords

relative riskbinary datarisk ratiomisclassification

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05)

Related Items (1)

Bayesian analysis of misclassified binomial data: double-sampling and the zero-numerator problem

Cites Work

• Confidence intervals for a binomial parameter based on binary data subject to false-positive misclassification
• Credible sets for risk ratios in over-reported two-sample binomial data using the double-sampling scheme
• A Bayesian approach to obtain confidence intervals for binomial proportion in a double sampling scheme subject to false-positive misclassification
• Case-Control Analysis with Partial Knowledge of Exposure Misclassification Probabilities
• Implications of Errors in Survey Data: A Bayesian Model
• On the Use of Double Sampling Schemes in Analyzing Categorical Data with Misclassification Errors
• Bayesian analysis of prevalence from the results of small screening samples
• Repeated audit controls
• Birth Defects Registered by Double Sampling: A Bayesian Approach Incorporating Covariates and Model Uncertainty
• A Double Sampling Scheme for Estimating from Misclassified Multinomial Data with Applications to Sampling Inspection
• Misclassification in 2 X 2 Tables
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