A Bayesian Approach to the G‐Formula via Iterative Conditional Regression
Liu R, Hu L, Wilson F, Warren J, Li F. A Bayesian Approach to the G‐Formula via Iterative Conditional Regression. Statistics In Medicine 2025, 44: e70123. PMID: 40476299, PMCID: PMC12184534, DOI: 10.1002/sim.70123.Peer-Reviewed Original ResearchConceptsCausal effect estimationTime-varying covariatesModel misspecification biasBayesian approachReal world data examplesG-formulaAverage causal effect estimationTime-varying treatmentsBayesian additive regression treesAverage causal effectAdditive regression treesConditional expectationOutcome regressionConditional distributionJoint distributionData examplesPosterior distributionMisspecification biasParametric regressionSimulation studyEffect estimatesSampling algorithmAlgorithm formulaCausal effectsFlexible machine learning techniquesRace, wealth and health: The role of reparations
Whittaker S, Hyacinthe M, Keene D, Dulin A, Kershaw T, Warren J. Race, wealth and health: The role of reparations. Social Science & Medicine 2025, 373: 117963. PMID: 40168833, PMCID: PMC12147558, DOI: 10.1016/j.socscimed.2025.117963.Peer-Reviewed Original ResearchConceptsRacial health gapsGeneral healthHealth gapPredictors of self-rated healthReport adverse health outcomesPredictors of general healthSelf-rated healthBlack respondentsExcellent/very good healthAssociated with healthMulti-level regression modelsAdverse health outcomesJustice interventionsReparation paymentsNational Longitudinal Survey of Youth 1979Dismantle systems of oppressionHealth outcomesHealth variablesPhysical healthMental healthAssess raceNational Longitudinal SurveyRacial wealth gapSystems of oppressionHealth measures
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