Bayesian approach for addressing differential covariate measurement error in propensity score methods

DOI10.1007/s11336-016-9533-xzbMath1402.62271OpenAlexW2531820612WikidataQ46457686 ScholiaQ46457686MaRDI QIDQ1695745

Elizabeth A. Stuart, Hwanhee Hong, Kara E. Rudolph

Publication date: 8 February 2018

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5391318

zbMATH Keywords

Bayesian hierarchical modelpropensity scoreinverse probability of treatment weightingdifferential measurement error

Mathematics Subject Classification ID

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

Related Items (2)

Robust Bayesian inference for big data: combining sensor-based records with traditional survey data ⋮ Compensation and amplification of attenuation bias in causal effect estimates

Uses Software

• R2jags
• RStan

Cites Work

• Unnamed Item
• A two-step Bayesian approach for propensity score analysis: simulations and case study
• Comment: Performance of double-robust estimators when ``inverse probability weights are highly variable
• Matching methods for causal inference: a review and a look forward
• Simplified Bayesian Sensitivity Analysis for Mismeasured and Unobserved Confounders
• The central role of the propensity score in observational studies for causal effects
• Model Feedback in Bayesian Propensity Score Estimation
• Inverse probability weighting with error-prone covariates
• To Model or Not To Model? Competing Modes of Inference for Finite Population Sampling
• Observational studies.

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