Matching algorithms for causal inference with multiple treatments

DOI10.1002/sim.8147zbMATH Open1545.62546MaRDI QIDQ6624680

Anthony D. Scotina, Roee Gutman

Publication date: 28 October 2024

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

zbMATH Keywords

matchingcausal inferencegeneralized propensity scoreobservational datamultiple treatments

Mathematics Subject Classification ID

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

Cites Work

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• Affinely invariant matching methods with discriminant mixtures of proportional ellipsoidally symmetric distributions
• Matching methods for causal inference: a review and a look forward
• Bayesian inference for causal effects: The role of randomization
• Estimation of causal effects with multiple treatments: a review and new ideas
• Using Multivariate Matched Sampling and Regression Adjustment to Control Bias in Observational Studies
• The central role of the propensity score in observational studies for causal effects
• Characterizing the effect of matching using linear propensity score methods with normal distributions
• The role of the propensity score in estimating dose-response functions
• Design and monitoring of multi‐arm multi‐stage clinical trials
• Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure After Surgery
• Reducibility among Combinatorial Problems
• Causal Inference for Statistics, Social, and Biomedical Sciences
• Propensity score matching and subclassification in observational studies with multi‐level treatments
• Full Matching in an Observational Study of Coaching for the SAT
• Causal Inference With General Treatment Regimes
• Observational studies.

Related Items (4)

Prognostic score-based methods for estimating center effects based on survival probability: application to post-kidney transplant survival ⋮ Multiple imputation procedures for estimating causal effects with multiple treatments with application to the comparison of healthcare providers ⋮ A novel approach for propensity score matching and stratification for multiple treatments: application to an electronic health record-derived study ⋮ A machine learning compatible method for ordinal propensity score stratification and matching

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