2022
Using machine learning to predict heavy drinking during outpatient alcohol treatment
Roberts W, Zhao Y, Verplaetse T, Moore KE, Peltier MR, Burke C, Zakiniaeiz Y, McKee S. Using machine learning to predict heavy drinking during outpatient alcohol treatment. Alcohol Clinical And Experimental Research 2022, 46: 657-666. PMID: 35420710, PMCID: PMC9180421, DOI: 10.1111/acer.14802.Peer-Reviewed Original ResearchConceptsAlcohol use disorderHeavy drinkingTreatment outcomesInvasive assessment methodsOutpatient AUD treatmentLast monthOutpatient alcohol treatmentMultisite clinical trialAccurate clinical predictionsHeavy alcohol useSex differencesBi-weekly sessionsAlcohol treatment outcomesPatient characteristicsClinical outcomesClinical trialsClinical dataStratified analysisEffective treatmentPsychiatric disordersUse disordersAUD treatmentSubstantial sex differencesAlcohol treatmentFirst month
2018
Intersection of E-Cigarette Use and Gender on Transitions in Cigarette Smoking Status: Findings Across Waves 1 and 2 of the Population Assessment of Tobacco and Health Study
Verplaetse TL, Moore KE, Pittman BP, Roberts W, Oberleitner LM, Peltier M, Hacker R, Cosgrove KP, McKee SA. Intersection of E-Cigarette Use and Gender on Transitions in Cigarette Smoking Status: Findings Across Waves 1 and 2 of the Population Assessment of Tobacco and Health Study. Nicotine & Tobacco Research 2018, 21: 1423-1428. PMID: 30239953, PMCID: PMC6751514, DOI: 10.1093/ntr/nty187.Peer-Reviewed Original ResearchConceptsE-cigarette useE-cigarette usersCigarette smoking statusE-cigarettesSmoking statusSmoking cessationCigarette smokersSmoking relapseGreater riskDaily e-cigarette usersWave 1Stratified analysisHigher oddsHealth StudyPotential riskSmokingRelapseDrug AdministrationElectronic cigarettesSmokersPopulation AssessmentPotential aidMenWomenRisk