Featured Publications
Joint analysis of repeatedly observed continuous and ordinal measures of disease severity
Gueorguieva RV, Sanacora G. Joint analysis of repeatedly observed continuous and ordinal measures of disease severity. Statistics In Medicine 2006, 25: 1307-1322. PMID: 16217846, DOI: 10.1002/sim.2270.Peer-Reviewed Original Research
2022
Models for Zero-Inflated and Overdispersed Correlated Count Data: An Application to Cigarette Use
Pittman B, Buta E, Garrison K, Gueorguieva R. Models for Zero-Inflated and Overdispersed Correlated Count Data: An Application to Cigarette Use. Nicotine & Tobacco Research 2022, 25: 996-1003. PMID: 36318799, PMCID: PMC10077942, DOI: 10.1093/ntr/ntac253.Peer-Reviewed Original ResearchMeSH KeywordsHumansLongitudinal StudiesModels, StatisticalNicotinePoisson DistributionTobaccoTobacco ProductsConceptsCorrelated count dataCount outcomesCount dataSubject-specific interpretationZero-InflatedIncorrect statistical inferenceStatistical inferenceCorrelated countsPoisson distributionOverdispersionModel assumptionsPoisson modelRandom effectsHurdle Poisson modelProper modelNegative binomial modelBinomial modelSuch dataAppropriate modelBest fitLarge varianceTobacco researchSuch outcomesModel fitTraining app
2020
Transitions across tobacco use profiles among adolescents: results from the Population Assessment of Tobacco and Health (PATH) study waves 1 and 2
Simon P, Buta E, Gueorguieva R, Kong G, Morean ME, Camenga D, Bold KW, Krishnan‐Sarin S. Transitions across tobacco use profiles among adolescents: results from the Population Assessment of Tobacco and Health (PATH) study waves 1 and 2. Addiction 2020, 115: 740-747. PMID: 31618491, PMCID: PMC7361287, DOI: 10.1111/add.14828.Peer-Reviewed Original ResearchConceptsUse of cigarettesE-cigarettesHealth Study Waves 1Wave 1US youthProbability of progressionUsers of cigarettesNon-institutionalized populationTobacco use statusTobacco use profilesSocio-demographic predictorsRate of useCurrent useProspective surveyMore tobacco productsLatent transition analysisSmokeless tobaccoNicotine productsHealth StudyUS civilianParental education levelTobacco productsCigarettesPopulation AssessmentUse status
2019
Longitudinal Findings from a Randomized Clinical Trial of Varenicline for Alcohol Use Disorder with Comorbid Cigarette Smoking
Bold KW, Zweben A, Fucito LM, Piepmeier ME, Muvvala S, Wu R, Gueorguieva R, O'Malley SS. Longitudinal Findings from a Randomized Clinical Trial of Varenicline for Alcohol Use Disorder with Comorbid Cigarette Smoking. Alcohol Clinical And Experimental Research 2019, 43: 937-944. PMID: 30817018, PMCID: PMC7039307, DOI: 10.1111/acer.13994.Peer-Reviewed Original ResearchConceptsEnd of treatmentAlcohol use disorderHeavy drinking daysMedical managementCigarette smokingComorbid cigarette smokingUse disordersDrinking daysCo-occurring alcohol use disorderHigh ratePlacebo-controlled trialBetter clinical outcomesAssessment of alcoholPercent of participantsVarenicline treatmentClinical outcomesSmoking abstinenceParallel groupClinical trialsTimeline FollowVareniclineSmoking behaviorAlcohol treatmentPosttreatment outcomesMultisite trial
2017
Longitudinal influence of alcohol and marijuana use on academic performance in college students
Meda SA, Gueorguieva RV, Pittman B, Rosen RR, Aslanzadeh F, Tennen H, Leen S, Hawkins K, Raskin S, Wood RM, Austad CS, Dager A, Fallahi C, Pearlson GD. Longitudinal influence of alcohol and marijuana use on academic performance in college students. PLOS ONE 2017, 12: e0172213. PMID: 28273162, PMCID: PMC5342177, DOI: 10.1371/journal.pone.0172213.Peer-Reviewed Original Research
2016
Correlated probit analysis of repeatedly measured ordinal and continuous outcomes with application to the Health and Retirement Study
Grigorova D, Gueorguieva R. Correlated probit analysis of repeatedly measured ordinal and continuous outcomes with application to the Health and Retirement Study. Statistics In Medicine 2016, 35: 4202-4225. PMID: 27222058, DOI: 10.1002/sim.6982.Peer-Reviewed Original ResearchLongitudinal Findings From a Randomized Clinical Trial of Naltrexone for Young Adult Heavy Drinkers
DeMartini KS, Gueorguieva R, Leeman RF, Corbin WR, Fucito LM, Kranzler HR, O’Malley S. Longitudinal Findings From a Randomized Clinical Trial of Naltrexone for Young Adult Heavy Drinkers. Journal Of Consulting And Clinical Psychology 2016, 84: 185-190. PMID: 26654213, PMCID: PMC4941818, DOI: 10.1037/ccp0000053.Peer-Reviewed Original ResearchConceptsPercent days abstinentFirst placebo-controlled trialPercent days heavy drinkingHeavy drinkingPlacebo-controlled trialLong-term outcomesHeavy drinking daysYoung adults ages 18Adults ages 18Naltrexone conditionActive medicationPlacebo groupPharmacotherapy trialsAdult heavy drinkersYoung adult heavy drinkersNonsignificant decreaseSignificant benefitsYear posttreatmentDays abstinentDrinking daysMost outcomesSingle interventionHeavy drinkersTreatment improvementAge 18
2010
Differential changes in body mass index after retirement by occupation: hierarchical models
Gueorguieva R, Sindelar JL, Wu R, Gallo WT. Differential changes in body mass index after retirement by occupation: hierarchical models. International Journal Of Public Health 2010, 56: 111-116. PMID: 20625792, PMCID: PMC3154720, DOI: 10.1007/s00038-010-0166-z.Peer-Reviewed Original ResearchConceptsBMI trajectoriesBody mass indexBody mass index (BMI) patternsMass indexHealth habitsBlue-collar occupationsOlder individualsJob physical demandsOccupational classBlue-collar workersNational dataSignificant increaseDifferential changesWhite-collar occupationsPhysical demandsCollar workersSocioeconomic characteristicsIncidence of tardive dyskinesia with atypical versus conventional antipsychotic medications: a prospective cohort study.
Woods SW, Morgenstern H, Saksa JR, Walsh BC, Sullivan MC, Money R, Hawkins KA, Gueorguieva RV, Glazer WM. Incidence of tardive dyskinesia with atypical versus conventional antipsychotic medications: a prospective cohort study. The Journal Of Clinical Psychiatry 2010, 71: 463-74. PMID: 20156410, PMCID: PMC3109728, DOI: 10.4088/jcp.07m03890yel.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAmbulatory CareAntipsychotic AgentsCohort StudiesCommunity Mental Health CentersConnecticutDiagnostic and Statistical Manual of Mental DisordersDyskinesia, Drug-InducedFemaleHumansIncidenceLongitudinal StudiesMaleMental DisordersMiddle AgedPrevalenceProspective StudiesPsychiatric Status Rating ScalesRisk FactorsSeverity of Illness IndexConceptsProspective cohort studyConventional antipsychoticsTardive dyskinesiaAtypical antipsychoticsCohort studyPrevious prospective cohort studyCommunity mental health centerConventional antipsychotic medicationsMental health centersAntipsychotic medicationHealth centersBaseline evaluationAntipsychoticsNew diagnosisDyskinesiaClinical practicePsychiatric outpatientsRecent exposureIncidencePrevious visitPrevious studiesPrevalenceSubjectsCurrent studyMost previous studies
2009
The Impact of Occupation on Self-Rated Health: Cross-Sectional and Longitudinal Evidence from the Health and Retirement Survey
Gueorguieva R, Sindelar JL, Falba TA, Fletcher JM, Keenan P, Wu R, Gallo WT. The Impact of Occupation on Self-Rated Health: Cross-Sectional and Longitudinal Evidence from the Health and Retirement Survey. The Journals Of Gerontology Series B 2009, 64B: 118-124. PMID: 19196689, PMCID: PMC2654983, DOI: 10.1093/geronb/gbn006.Peer-Reviewed Original ResearchConceptsSelf-reported healthOlder individualsSelf-reported health statusSignificant baseline differencesSelf-rated healthHealth habitsBaseline differencesOccupation-related differencesHealth statusHealth trajectoriesImpact of occupationKey covariatesStudy sampleSignificant differencesRetirement StudyHealthOccupational categoriesRetirement SurveyLongitudinal evidenceIndividual ageOccupational differencesIndividualsDifferences