Propensity score methods for merging observational and experimental datasets

DOI10.1002/sim.9223zbMATH Open1545.62527MaRDI QIDQ6622217

Hailey R. Banack, Art B. Owen, Mike Baiocchi, Evan T. R. Rosenman

Publication date: 22 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

external validityobservational studiescausal inferencerandomized controlled trials

Mathematics Subject Classification ID

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

Cites Work

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• The prognostic analogue of the propensity score
• The central role of the propensity score in observational studies for causal effects
• Sensitivity analysis for certain permutation inferences in matched observational studies
• A James-Stein Type Estimator for Combining Unbiased and Possibly Biased Estimators
• On the Pooling of Time Series and Cross Section Data
• Sensitivity Analysis for Inverse Probability Weighting Estimators via the Percentile Bootstrap
• Causal Inference for Statistics, Social, and Biomedical Sciences
• Approaches to treatment effect heterogeneity in the presence of confounding
• From sample average treatment effect to population average treatment effect on the treated: combining experimental with observational studies to estimate population treatment effects

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