Bayesian misclassification and propensity score methods for clustered observational studies

DOI10.1080/02664763.2017.1380786OpenAlexW2762727811MaRDI QIDQ5036400

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Publication date: 23 February 2022

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

Full work available at URL: https://doi.org/10.1080/02664763.2017.1380786

zbMATH Keywords

Bayesian inferencepropensity scoremisclassificationcovariate adjustmentintimate partner violencecluster observational study

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of statistics (62Pxx)

Related Items (1)

Bayesian sensitivity analysis to unmeasured confounding for misclassified data

Cites Work

• A two-step Bayesian approach for propensity score analysis: simulations and case study
• The specification of the propensity score in multilevel observational studies
• Bayesian analysis of correlated misclassified binary data
• Binomial Regression with Misclassification
• The central role of the propensity score in observational studies for causal effects
• Matching on the Estimated Propensity Score
• Bias and efficiency loss due to misclassified responses in binary regression

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