Uncertainty in the design stage of two-stage Bayesian propensity score analysis
From MaRDI portal
Publication:6627422
DOI10.1002/sim.8486zbMATH Open1546.62446MaRDI QIDQ6627422
Shirley X. Liao, Corwin M. Zigler
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- A two-step Bayesian approach for propensity score analysis: simulations and case study
- Calibrated Bayes, for statistics in general, and missing data in particular
- Approximate Bayesian inference for doubly robust estimation
- For objective causal inference, design trumps analysis
- A note on using the estimated versus the known propensity score to estimate the average treatment effect
- Multiple imputation: a review of practical and theoretical findings
- Multiple Imputation After 18+ Years
- The central role of the propensity score in observational studies for causal effects
- Matching Using Estimated Propensity Scores: Relating Theory to Practice
- A Note on the Efficiency of Sandwich Covariance Matrix Estimation
- Bayesian propensity scores for high‐dimensional causal inference: A comparison of drug‐eluting to bare‐metal coronary stents
- Balancing Covariates via Propensity Score Weighting
- Model Feedback in Bayesian Propensity Score Estimation
- Large Sample Properties of Matching Estimators for Average Treatment Effects
- The Central Role of Bayes’ Theorem for Joint Estimation of Causal Effects and Propensity Scores
- Modularization in Bayesian analysis, with emphasis on analysis of computer models
- Cuts in Bayesian graphical models
- A weighting analogue to pair matching in propensity score analysis
- Cutting feedback in Bayesian regression adjustment for the propensity score
This page was built for publication: Uncertainty in the design stage of two-stage Bayesian propensity score analysis
