2024
Estimation and inference for causal spillover effects in egocentric-network randomized trials in the presence of network membership misclassification
Chao A, Spiegelman D, Buchanan A, Forastiere L. Estimation and inference for causal spillover effects in egocentric-network randomized trials in the presence of network membership misclassification. Biostatistics 2024, 26: kxaf009. PMID: 40159413, PMCID: PMC11955068, DOI: 10.1093/biostatistics/kxaf009.Peer-Reviewed Original ResearchConceptsHIV Prevention Trials NetworkBehavioral changesImpact of interventionsPopulation behavior changePeer-based strategiesRandomized trialsIntervention effectsBehavioral interventionsStudy designSpillover effectsInterventionTrials NetworkInvestigate finite sample propertiesAverage spillover effectFinite sample propertiesBehavioral trainingParticipantsLeverage peer influenceMisclassificationDisseminate informationInterference settingOutcomesPeer influenceSurrogate networksSample properties
2023
Methods for Assessing Spillover in Network-Based Studies of HIV/AIDS Prevention among People Who Use Drugs
Buchanan A, Katenka N, Lee Y, Wu J, Pantavou K, Friedman S, Halloran M, Marshall B, Forastiere L, Nikolopoulos G. Methods for Assessing Spillover in Network-Based Studies of HIV/AIDS Prevention among People Who Use Drugs. Pathogens 2023, 12: 326. PMID: 36839598, PMCID: PMC9967280, DOI: 10.3390/pathogens12020326.Peer-Reviewed Original ResearchTransmission Reduction Intervention ProjectHuman immunodeficiency virus interventionsIntervention effectsPre-exposure prophylaxisHIV risk reductionHIV/AIDS preventionDifferent study designsReceipt of interventionHIV interventionsStudy designAIDS preventionParticipants' exposureRisk reductionInterventionNetwork-based studyParticipant outcomesIntervention projectPWUDPreventionDrugsOutcomesCoverage levelsExposureImportant methodological issues
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