2022
Focusing on Comorbidity—A Novel Meta-Analytic Approach and Protocol to Disentangle the Specific Neuroanatomy of Co-occurring Mental Disorders
Fortea L, Albajes-Eizagirre A, Yao Y, Soler E, Verdolini N, Hauson A, Fortea A, Madero S, Solanes A, Wollman S, Serra-Blasco M, Wise T, Lukito S, Picó-Pérez M, Carlisi C, Zhang J, Pan P, Farré-Colomés Á, Arnone D, Kempton M, Soriano-Mas C, Rubia K, Norman L, Fusar-Poli P, Mataix-Cols D, Valentí M, Via E, Cardoner N, Solmi M, Shin J, Vieta E, Radua J. Focusing on Comorbidity—A Novel Meta-Analytic Approach and Protocol to Disentangle the Specific Neuroanatomy of Co-occurring Mental Disorders. Frontiers In Psychiatry 2022, 12: 807839. PMID: 35115973, PMCID: PMC8805083, DOI: 10.3389/fpsyt.2021.807839.Peer-Reviewed Original ResearchVoxel-based morphometryMental disordersMeta-analytic approachCorrelates of mental disordersStudy of mental disordersBrain anatomical differencesComorbid disordersMeta-analytic methodsNeural correlatesSDM-PSIMeta-analysisMental healthDisordersPrimary disorderMeta-analysesDependent variableNeuroanatomyComorbidityTherapeutic toolChildren/adolescentsBrainMorphometryComorbiditiesPercentage of patientsAnatomical differences
2021
Evaluation of a virtual reality E-cigarette prevention game for adolescents
Weser VU, Duncan LR, Sands BE, Schartmann A, Jacobo S, François B, Hieftje KD. Evaluation of a virtual reality E-cigarette prevention game for adolescents. Addictive Behaviors 2021, 122: 107027. PMID: 34225030, DOI: 10.1016/j.addbeh.2021.107027.Peer-Reviewed Original ResearchConceptsSocial perceptionPerceptions of harmIntervention acceptabilityE-cigarette knowledgeVR experienceAdolescents' satisfactionSocial approvalVR gameplayPerceptionGameplay experiencePreliminary efficacySubjects ANOVAE-cigarette useNon-equivalent control groupMiddle schoolVR playerSatisfactionNicotine addictionVirtual reality hardwareGameplayAdolescentsVRDependent variableControl groupGame
2020
A quasi-experimental test of a virtual reality game prototype for adolescent E-Cigarette prevention
Weser VU, Duncan LR, Pendergrass TM, Fernandes CS, Fiellin LE, Hieftje KD. A quasi-experimental test of a virtual reality game prototype for adolescent E-Cigarette prevention. Addictive Behaviors 2020, 112: 106639. PMID: 32920455, DOI: 10.1016/j.addbeh.2020.106639.Peer-Reviewed Original ResearchConceptsSocial norm perceptionsGame prototypePerceptions of harmNorm perceptionsQuasi-experimental testPaired-samples t-testParticipants' enjoymentSocial normsPreliminary impactPerceptionEffect sizeE-cigarette preventionVirtual reality hardwarePost designAdolescentsSatisfactionVRDependent variableAttitudesHarm perceptionsE-cigarettesGameEnjoymentParticipantsGameplay
2017
Robust distributed lag models using data adaptive shrinkage
Chen Y, Mukherjee B, Adar S, Berrocal V, Coull B. Robust distributed lag models using data adaptive shrinkage. Biostatistics 2017, 19: 461-478. PMID: 29040386, PMCID: PMC6454578, DOI: 10.1093/biostatistics/kxx041.Peer-Reviewed Original ResearchConceptsDistributed lag modelsDistributed lagLag modelTime series dataEffects of air pollutionBias-variance trade-offGeneralized ridge regressionShrinkage methodAir pollution studiesHierarchical Bayes approachShrinkage approachTime seriesDl functionAir pollutionPollution studiesEffect estimatesTrade-OffsExtensive simulation studyDependent variableShrinking coefficientsMean square errorLagSimulation studyBayes approachRidge regression
2016
O44-3 Using meta-regression models to systematically evaluate data in the published literature: relative contributions of agricultural drift, para-occupational, and residential use exposure pathways to house dust pesticide concentrations
Deziel N, Freeman L, Graubard B, Jones R, Hoppin J, Thomas K, Hines C, Blair A, Sandler D, Chen H, Lubin J, Andreotti G, Alavanja M, Friesen M. O44-3 Using meta-regression models to systematically evaluate data in the published literature: relative contributions of agricultural drift, para-occupational, and residential use exposure pathways to house dust pesticide concentrations. Occupational And Environmental Medicine 2016, 73: a84. DOI: 10.1136/oemed-2016-103951.226.Peer-Reviewed Original Research
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