Adjustment for Missing Confounders Using External Validation Data and Propensity Scores
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Publication:4916437
DOI10.1080/01621459.2011.643739zbMath1328.62031OpenAlexW1995878244WikidataQ60373070 ScholiaQ60373070MaRDI QIDQ4916437
Sylvia Richardson, Lawrence C. McCandless, Nicky G. Best
Publication date: 22 April 2013
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/01621459.2011.643739
Related Items (6)
The Central Role of Bayes’ Theorem for Joint Estimation of Causal Effects and Propensity Scores ⋮ Adjusting for unmeasured confounding in survival causal effect using validation data ⋮ Variational inference for cutting feedback in misspecified models ⋮ Combining Multiple Observational Data Sources to Estimate Causal Effects ⋮ Approximate Bayesian inference for doubly robust estimation ⋮ Model Feedback in Bayesian Propensity Score Estimation
Uses Software
Cites Work
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- The central role of the propensity score in observational studies for causal effects
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- A Pseudoscore Estimator for Regression Problems With Two-Phase Sampling
- Flexible Maximum Likelihood Methods for Assessing Joint Effects in Case- Control Studies with Complex Sampling
- Multiple imputation of discrete and continuous data by fully conditional specification
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