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 variablesPosterior Predictive $p$-Values with Fisher Randomization Tests in Noncompliance Settings: Test Statistics vs Discrepancy Measures
Forastiere L, Mealli F, Miratrix L. Posterior Predictive $p$-Values with Fisher Randomization Tests in Noncompliance Settings: Test Statistics vs Discrepancy Measures. Bayesian Analysis 2018, 13 DOI: 10.1214/17-ba1062.Peer-Reviewed Original ResearchDiscrepancy measureClassical test statisticsTest statisticIncorrect model specificationPosterior credible intervalsPosterior distributionFisher randomization testModel misspecificationCompliance typeImputation stepAverage causal effectCredible intervalsPermutation testComplier average causal effectGeneral schemeAdditional modelingModel specificationStatisticsRandomization testMisspecificationDifferent approachesOverall approachSchemeValidityRandomized experiments