Regression model

Inverse Probability of Treatment Weighting (IPW / IPTW)

Inverse Probability Weighting is a causal-inference method that assigns each observation a weight equal to the inverse of its probability of receiving the treatment it actually received. Introduced by Robins, Hernán and Brumback (2000) for marginal structural models, it builds a pseudo-population in which treatment is independent of measured confounders, balancing selection bias.

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Sources

  1. Robins, J. M., Hernán, M. A., & Brumback, B. (2000). Marginal Structural Models and Causal Inference in Epidemiology. Epidemiology, 11(5), 550-560. DOI: 10.1097/00001648-200009000-00011
  2. Cole, S. R., & Hernán, M. A. (2008). Constructing Inverse Probability Weights for Marginal Structural Models. American Journal of Epidemiology, 168(6), 656-664. DOI: 10.1093/aje/kwn164

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Referenced by

Bayesian Doubly Robust EstimationBayesian Entropy BalancingBayesian Inverse Probability WeightingBayesian Marginal Structural ModelBayesian Propensity Score MatchingBayesian Propensity Score WeightingCoarsened Exact MatchingDAG Causal IdentificationDoubly Robust EstimationDoubly Robust Estimation in Education ResearchDynamic Entropy BalancingDynamic Inverse Probability WeightingDynamic Matching EstimatorDynamic Propensity Score MatchingEntropy BalancingG-ComputationHeterogeneous treatment effect Doubly robust estimationHeterogeneous Treatment Effect Entropy BalancingHeterogeneous Treatment Effect Inverse Probability WeightingHeterogeneous Treatment Effect Marginal Structural ModelMachine learning-augmented doubly robust estimationMachine Learning-Augmented Entropy BalancingMachine Learning-Augmented Inverse Probability WeightingMachine Learning-Augmented Marginal Structural ModelMachine Learning-Augmented Matching EstimatorMachine learning-augmented propensity score weightingMarginal Structural ModelMarginal structural model in education researchMatched Competing Risks AnalysisMatched Phase IV StudyMatching EstimatorMatching MethodsMulti-period Doubly Robust EstimationMulti-period Inverse Probability WeightingMulti-period Propensity Score WeightingPanel Data Inverse Probability WeightingPanel Data Marginal Structural ModelPolicy Evaluation Coarsened Exact MatchingPolicy Evaluation Doubly Robust EstimationPolicy Evaluation Entropy BalancingPolicy Evaluation Inverse Probability WeightingPolicy Evaluation Marginal Structural ModelPolicy Evaluation Matching EstimatorPolicy Evaluation Propensity Score MatchingPolicy Evaluation Propensity Score WeightingPropensity Score Matching in Education ResearchPropensity Score WeightingPropensity Score Weighting in Education ResearchRisk-adjusted Kaplan-Meier analysisRisk-adjusted Phase IV studyRisk-adjusted survival analysisRobust Inverse Probability WeightingRobust Marginal Structural ModelRobust Matching EstimatorRobust Propensity Score MatchingRobust Propensity Score WeightingSpatial Doubly Robust EstimationSpatial Inverse Probability WeightingSpatial Marginal Structural ModelSpatial Propensity Score WeightingTargeted Maximum Likelihood Estimation
ScholarGateInverse Probability Weighting (Inverse Probability of Treatment Weighting (IPW / IPTW)). Retrieved 2026-06-04 from https://scholargate.app/tr/causal-inference/inverse-probability-weighting