An optimization approach for making causal inferences

DOI10.1111/stan.12004zbMATH Open1541.62041MaRDI QIDQ6552758

Jason J. Sauppe, E. C. Sewell, Wendy K. Tam Cho, Sheldon H. Jacobson, Alexander G. Nikolaev

Publication date: 10 June 2024

Published in: Statistica Neerlandica (Search for Journal in Brave)

zbMATH Keywords

optimizationmatchingsubset selectioncausal inference

Mathematics Subject Classification ID

Causal inference from observational studies (62D20)

Cites Work

• Title not available (Why is that?)
• Does matching overcome LaLonde's critique of nonexperimental estimators?
• Rejoinder: ``Does matching overcome LaLonde's critique of nonexperimental estimators?
• Affinely invariant matching methods with ellipsoidal distributions
• Bayesian inference for causal effects: The role of randomization
• The central role of the propensity score in observational studies for causal effects
• Statistics and Causal Inference
• Multivariate Matching Methods That are Equal Percent Bias Reducing, I: Some Examples
• Multivariate Matching Methods That are Equal Percent Bias Reducing, II: Maximums on Bias Reduction for Fixed Sample Sizes
• Balance Optimization Subset Selection (BOSS): An Alternative Approach for Causal Inference with Observational Data
• Minimum Distance Matched Sampling With Fine Balance in an Observational Study of Treatment for Ovarian Cancer

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