2020
Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks
Forastiere L, Airoldi E, Mealli F. Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks. Journal Of The American Statistical Association 2020, 116: 901-918. DOI: 10.1080/01621459.2020.1768100.Peer-Reviewed Original ResearchInterference effectsDifferent realistic settingsNeighborhood covariatesRepresentative longitudinal studyNeighborhood treatmentsNew estimandsPopulation of unitsGrades 7Longitudinal studyFriendship networksEstimation of treatmentLevel of interferenceIndividual treatmentPotential outcomesUnconfoundedness assumptionValid inferencesAdolescentsBiasInferenceDegree of associationCovariate adjustment methodsDifferent levelsRealistic settingsValid estimatesCovariates
2018
Estimating Causal Effects on Social Networks
Forastiere L, Mealli F, Wu A, Airoldi E. Estimating Causal Effects on Social Networks. 2018, 00: 60-69. DOI: 10.1109/dsaa.2018.00016.Peer-Reviewed Original ResearchPosterior distributionPropensity score estimationBayesian procedureObserved networkStructural assumptionsNeighborhood treatmentsGeneralized propensity scoreNeighborhood interferenceRandom effectsSpline regressionNeighbor treatmentsCausal estimandsCommunity detection algorithmsScore estimationConnected unitsEstimationModel feedbackAssumptionUnmeasured confounding variables