Bayesian sensitivity analyses for hidden sub-populations in weighted sampling

DOI10.1002/CJS.11220zbMath1297.62060OpenAlexW2009687799MaRDI QIDQ2925555

Michelle Xia, Paul Gustafson

Publication date: 16 October 2014

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

Full work available at URL: https://doi.org/10.1002/cjs.11220

zbMATH Keywords

sensitivity analysisMarkov chain Monte CarloBayesian inferencepartial identificationweighted samplinghidden sub-population

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (3)

When is a sensitivity parameter exactly that? ⋮ Bayesian regression models adjusting for unidirectional covariate misclassification ⋮ Tail negative dependence and its applications for aggregate loss modeling

Uses Software

• WinBUGS

Cites Work

• On model expansion, model contraction, identifiability and prior information: two illustrative scenarios involving mismeasured variables
• Consistency of maximum likelihood and Bayes estimates
• Fitting regression models with response-biased samples
• Multiple-Bias Modelling for Analysis of Observational Data
• To Model or Not To Model? Competing Modes of Inference for Finite Population Sampling
• A Generalization of Sampling Without Replacement From a Finite Universe

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