Affinely invariant matching methods with discriminant mixtures of proportional ellipsoidally symmetric distributions

DOI10.1214/009053606000000407zbMath1246.62159arXivmath/0611263OpenAlexW2065121870WikidataQ61479669 ScholiaQ61479669MaRDI QIDQ449948

Elizabeth A. Stuart, Donald B. Rubin

Publication date: 3 September 2012

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/math/0611263

zbMATH Keywords

causal inferencepropensity scoresequal percent bias reducing (EPBR)matched sampling

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Multivariate analysis (62H99) Sampling theory, sample surveys (62D05)

Related Items (5)

Bias reduction with variable percent bias reducing matching ⋮ Equal percent bias reduction and variance proportionate modifying properties with mean-covariance preserving matching ⋮ Matching methods for causal inference: a review and a look forward ⋮ Analyses that Inform Policy Decisions ⋮ Propensity score modelling in observational studies using dimension reduction methods

Cites Work

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• Does matching overcome LaLonde's critique of nonexperimental estimators?
• Affinely invariant matching methods with ellipsoidal distributions
• 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 Efficiency of Logistic Regression Compared to Normal Discriminant Analysis
• Multivariate Matching Methods That are Equal Percent Bias Reducing, I: Some Examples
• Matching Using Estimated Propensity Scores: Relating Theory to Practice
• Observational studies.

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