Featured Publications
Illusory generalizability of clinical prediction models
Chekroud A, Hawrilenko M, Loho H, Bondar J, Gueorguieva R, Hasan A, Kambeitz J, Corlett P, Koutsouleris N, Krumholz H, Krystal J, Paulus M. Illusory generalizability of clinical prediction models. Science 2024, 383: 164-167. PMID: 38207039, DOI: 10.1126/science.adg8538.Peer-Reviewed Original ResearchMove Over ANOVA: Progress in Analyzing Repeated-Measures Data andIts Reflection in Papers Published in the Archives of General Psychiatry
Gueorguieva R, Krystal JH. Move Over ANOVA: Progress in Analyzing Repeated-Measures Data andIts Reflection in Papers Published in the Archives of General Psychiatry. JAMA Psychiatry 2004, 61: 310-317. PMID: 14993119, DOI: 10.1001/archpsyc.61.3.310.Peer-Reviewed Original ResearchMeSH KeywordsAnalysis of VarianceEndpoint DeterminationHumansModels, StatisticalPsychiatryResearch DesignCross-trial prediction of treatment outcome in depression: a machine learning approach
Chekroud AM, Zotti RJ, Shehzad Z, Gueorguieva R, Johnson MK, Trivedi MH, Cannon TD, Krystal JH, Corlett PR. Cross-trial prediction of treatment outcome in depression: a machine learning approach. The Lancet Psychiatry 2016, 3: 243-250. PMID: 26803397, DOI: 10.1016/s2215-0366(15)00471-x.Peer-Reviewed Original ResearchConceptsTreatment outcomesTreatment groupsEscitalopram treatment groupSpecific antidepressantsPatient-reported dataSequenced Treatment AlternativesClinical trial dataIndependent clinical trialsClinical remissionSymptomatic remissionClinical trialsTreatment efficacyPatientsProspective identificationTreatment alternativesTrial dataDepressionRemissionAntidepressantsOutcomesGroupLevel 1CitalopramCohortClinicians
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
2016
Statistical Models for the Analysis of Zero-Inflated Pain Intensity Numeric Rating Scale Data
Goulet JL, Buta E, Bathulapalli H, Gueorguieva R, Brandt CA. Statistical Models for the Analysis of Zero-Inflated Pain Intensity Numeric Rating Scale Data. Journal Of Pain 2016, 18: 340-348. PMID: 27919777, DOI: 10.1016/j.jpain.2016.11.008.Peer-Reviewed Original ResearchConceptsStatistical modelStatistical methodsExcess of zerosAlternative statistical methodsFollowing statistical modelsNumeric rating scaleNRS scoresDiscrete valuesOrdinal dataLarge cohortLinear modelCumulative logit modelMusculoskeletal disordersRight-skewed distributionZerosObservational cross-sectional studyInterpretability of resultsMean NRS painPainful musculoskeletal disordersPredictor effectsVeterans Affairs (VA) carePain intensity dataCross-sectional studyNRS dataDiagnosis date
2005
Comments about Joint Modeling of Cluster Size and Binary and Continuous Subunit-Specific Outcomes
Gueorguieva RV. Comments about Joint Modeling of Cluster Size and Binary and Continuous Subunit-Specific Outcomes. Biometrics 2005, 61: 862-866. PMID: 16135040, DOI: 10.1111/j.1541-020x.2005.00409_1.x.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBayes TheoremCluster AnalysisEmbryonic DevelopmentEthylene GlycolFemaleMiceModels, BiologicalModels, StatisticalPregnancySoftwareConceptsCluster sizeJoint modelingContinuous response variablesMaximum likelihood estimatesCluster-level random effectsMaximum likelihood approachData examplesPrior specificationBayesian approachLikelihood estimatesGeneral situationAlternative parameterizationsStandard softwareRandom effectsGeneral modelResponse variablesCluster-level factorsBest fitDunsonExtensive programmingData setsEstimatesModelingModelInference
2001
Effect of Teenage Pregnancy on Educational Disabilities in Kindergarten
Gueorguieva R, Carter R, Ariet M, Roth J, Mahan C, Resnick M. Effect of Teenage Pregnancy on Educational Disabilities in Kindergarten. American Journal Of Epidemiology 2001, 154: 212-220. PMID: 11479185, DOI: 10.1093/aje/154.3.212.Peer-Reviewed Original ResearchConceptsLong-term morbidityTeenage pregnancyMaternal ageTeenage mothersOlder maternal ageYoung maternal ageAssociated sociodemographic factorsMarital statusSingle marital statusPublic health issuePerinatal outcomesPoor outcomeHigh prevalenceProtective effectHigher oddsSociodemographic factorsPregnancyMaternal educationYounger ageHealth issuesAdverse effectsTeen ageIndependent effectsEducational disabilitiesMorbidity