Dossier de preuve de méthode

Propensity Score Weighting

Propensity score weighting is a causal-inference method that reweights observations so that the covariate distributions of treated and untreated units look exchangeable, enabling unbiased estimation of average treatment effects from observational data. Each unit receives a weight that is the inverse of its probability of receiving the treatment it actually received — a strategy formalised by Rosenbaum and Rubin (1983) and given its efficient semiparametric form by Hirano, Imbens and Ridder (2003).

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Propensity Score Weighting Estimator

Dossier de méthode taxonomique · regression-model / causal-inference

Ouvrir la méthode complète

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Méthodes apparentées

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Taxonomic bucketCoarsened Exact Matchingmachine-suggested · Relational suggestion, not evidence.Same method familyDifference-in-Differencesmachine-suggested · Relational suggestion, not evidence.Same method familyDoubly Robust Estimationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketEntropy Balancingmachine-suggested · Relational suggestion, not evidence.Same method familyInverse Probability Weightingmachine-suggested · Relational suggestion, not evidence.See alsoPropensity Score Matchingmachine-suggested · Relational suggestion, not evidence.