2023
Estimating Causal Effects of Multi-Valued Treatments Accounting for Network Interference: Immigration Policies and Crime Rates
Tortú C, Crimaldi I, Mealli F, Forastiere L. Estimating Causal Effects of Multi-Valued Treatments Accounting for Network Interference: Immigration Policies and Crime Rates. Sociological Methods & Research 2023, 53: 1794-1828. DOI: 10.1177/00491241221147503.Peer-Reviewed Original ResearchImmigration policyCrime ratesNetwork interferenceNational immigration policyRestrictive immigration policiesPolicy evaluation studiesStatistical frameworkImpact of policiesStatistical challengesWeighted networkPolitical attitudesPolitical scienceGeneralized propensity scorePresence of interferenceOECD countriesEstimating Causal EffectsPolicyEstimation strategyAdministrative entitiesInterference structureGeographical proximityBinary treatmentMultiple dimensionsSpecific issuesCountries
2020
Assessing short-term impact of PM10 on mortality using a semiparametric generalized propensity score approach
Forastiere L, Carugno M, Baccini M. Assessing short-term impact of PM10 on mortality using a semiparametric generalized propensity score approach. Environmental Health 2020, 19: 46. PMID: 32357874, PMCID: PMC7193397, DOI: 10.1186/s12940-020-00599-6.Peer-Reviewed Original ResearchConceptsRespiratory causesAttributable deathsCause-specific mortalityDose-response functionDaily exposure levelsCardiovascular causesPropensity score approachEffect modificationExposure-response curvesPropensity scoreStudy periodPopulation healthMortalityExposure levelsDeathWhole study periodHypothetical interventionGeneralized propensity scoreShort-term impactFurther investigationCauseAir pollutionHealthHigh levelsScore approach
2019
Propensity score weighting for causal inference with multiple treatments
Li F, Li F. Propensity score weighting for causal inference with multiple treatments. The Annals Of Applied Statistics 2019, 13: 2389-2415. DOI: 10.1214/19-aoas1282.Peer-Reviewed Original ResearchGeneralized propensity scoreInverse probability weightingSandwich variance estimatorOverlap weightingProbability weightingEstimate causal effectsCausal effectsCovariate distributionsVariance estimationBalance weightTarget estimandWeight estimationLinear contrastsMultiple groupsWeighting frameworkHarmonic meanMedical Expenditure Panel SurveyTrim weightEstimationEstimandsWeighting schemeMultiple treatmentsTarget populationHealth services researchPropensity score
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
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply