When is a sensitivity parameter exactly that?

DOI10.1214/17-STS632zbMath1407.62029OpenAlexW2786442399MaRDI QIDQ667684

Lawrence C. McCandless, Paul Gustafson

Publication date: 1 March 2019

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ss/1517562027

zbMATH Keywords

sensitivity analysisselection biasmissing dataBayesian inferencemisclassification

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15) Foundations and philosophical topics in statistics (62A01)

Related Items (3)

Flexible Sensitivity Analysis for Observational Studies Without Observable Implications ⋮ A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data ⋮ Comment: Reflections on the Deconfounder

Uses Software

• DOS

Cites Work

• On model expansion, model contraction, identifiability and prior information: two illustrative scenarios involving mismeasured variables
• Applying quantitative bias analysis to epidemiologic data
• Bayesian sensitivity analyses for hidden sub-populations in weighted sampling
• Simplified Bayesian Sensitivity Analysis for Mismeasured and Unobserved Confounders
• Case-Control Analysis with Partial Knowledge of Exposure Misclassification Probabilities
• Multiple-Bias Modelling for Analysis of Observational Data
• Missing Data in Longitudinal Studies
• The Impact of Prior Distributions for Uncontrolled Confounding and Response Bias
• Assessing the Sensitivity of Regression Results to Unmeasured Confounders in Observational Studies
• Incorporating prior beliefs about selection bias into the analysis of randomized trials with missing outcomes
• Design of observational studies
• Observational studies.
• Unnamed Item

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