2025
Nonparametric identification is not enough, but randomized controlled trials are
Aronow P, Robins J, Saarinen T, Sävje F, Sekhon J. Nonparametric identification is not enough, but randomized controlled trials are. Observational Studies 2025, 11: 3-16. PMID: 40487083, PMCID: PMC12139723, DOI: 10.1353/obs.2025.a956837.Peer-Reviewed Original ResearchPropensity score functionResults of RobinsValid confidence intervalsAverage treatment effectParametric rateScoring functionContinuous confoundersNonparametric identificationUnconfoundedness assumptionBinary outcomesStatistical estimationObservational settingPropensity scoreAssumptionsEstimationConfidence intervalsPropensityRobinTreatment effectsFunctionInferenceRejoinder: Nonparametric identification is not enough, but randomized controlled trials are.
Aronow P, Robins J, Saarinen T, Sävje F, Sekhon J. Rejoinder: Nonparametric identification is not enough, but randomized controlled trials are. Observational Studies 2025, 11: 85-90. PMID: 40487084, PMCID: PMC12139717, DOI: 10.1353/obs.2025.a956844.Peer-Reviewed Original ResearchRoot-nPropensity score functionRoot-n rateConditional expectation functionFinite-sampleContinuous covariatesNonparametric identificationExpectation functionUntestable assumptionsRandomized experimentScoring functionPotential outcomesEstimated averageSample sizeEstimationPropensity scoreConfidence intervalsPropensityAssumptionsCovariatesFunctionUniformityRemarks
2024
Exact Bias Correction for Linear Adjustment of Randomized Controlled Trials
Chang H, Middleton J, Aronow P. Exact Bias Correction for Linear Adjustment of Randomized Controlled Trials. Econometrica 2024, 92: 1503-1519. DOI: 10.3982/ecta20289.Peer-Reviewed Original Research
2012
Interval estimation of population means under unknown but bounded probabilities of sample selection
Aronow P, Lee D. Interval estimation of population means under unknown but bounded probabilities of sample selection. Biometrika 2012, 100: 235-240. DOI: 10.1093/biomet/ass064.Peer-Reviewed Original Research
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