Simplified Bayesian Sensitivity Analysis for Mismeasured and Unobserved Confounders

DOI10.1111/J.1541-0420.2009.01377.XzbMath1233.62179OpenAlexW2157443818WikidataQ51729552 ScholiaQ51729552MaRDI QIDQ3076042

Paul Gustafson, Adrian R. Levy, Lawrence C. McCandless, Sylvia Richardson

Publication date: 17 February 2011

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2009.01377.x

zbMATH Keywords

Bayesian inferencemeasurement errors

Mathematics Subject Classification ID

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

Related Items (4)

Bayesian approach for addressing differential covariate measurement error in propensity score methods ⋮ When is a sensitivity parameter exactly that? ⋮ Bayesian sensitivity analysis to unmeasured confounding for misclassified data ⋮ Nonparametric bounds and sensitivity analysis of treatment effects

Cites Work

• Unnamed Item
• Multiple-Bias Modelling for Analysis of Observational Data
• Sensitivity Analysis: Distributional Assumptions and Confounding Assumptions
• Inflation of Type I error rate in multiple regression when independent variables are measured with error
• The Impact of Prior Distributions for Uncontrolled Confounding and Response Bias
• Identifiability, Improper Priors, and Gibbs Sampling for Generalized Linear Models
• Assessing the Sensitivity of Regression Results to Unmeasured Confounders in Observational Studies

This page was built for publication: Simplified Bayesian Sensitivity Analysis for Mismeasured and Unobserved Confounders