Bayesian propensity score analysis for clustered observational data

DOI10.1007/S10260-019-00484-8zbMath1457.62206OpenAlexW2966480891WikidataQ127434222 ScholiaQ127434222MaRDI QIDQ2218636

Yanyan Li

Publication date: 15 January 2021

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-019-00484-8

zbMATH Keywords

stratificationBayesian inferenceobservational datapropensity scoremultilevel modelinglipid management

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Causal inference from observational studies (62D20)

Related Items (1)

Robust Bayesian inference for big data: combining sensor-based records with traditional survey data

Uses Software

• BayesDA

Cites Work

• Unnamed Item
• A two-step Bayesian approach for propensity score analysis: simulations and case study
• A Bayesian nonparametric causal model
• The specification of the propensity score in multilevel observational studies
• On the Failure of the Bootstrap for Matching Estimators
• The central role of the propensity score in observational studies for causal effects
• Matching on the Estimated Propensity Score
• Model Feedback in Bayesian Propensity Score Estimation

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