Veronika Shabanova, PhD
Associate Professor of Pediatrics (General Pediatrics) and of BiostatisticsDownloadHi-Res Photo
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General Pediatrics
Primary
Biostatistics
Secondary
Additional Titles
Biostatistician
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Appointments
General Pediatrics
Primary
Biostatistics
Secondary
Additional Titles
Biostatistician
Contact Info
Appointments
General Pediatrics
Primary
Biostatistics
Secondary
Additional Titles
Biostatistician
Contact Info
About
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Titles
Associate Professor of Pediatrics (General Pediatrics) and of Biostatistics
Biostatistician
Biography
Dr. Shabanova is a faculty member in the department of Pediatrics and Department of Biostatistics at Yale University. Prior to that she was one of the senior biostatisticians at the Yale Center for Analytical Sciences (YCAS). With over 20 years of experience as a researcher and statistician in academia and industry, she acquired expertise in statistical and epidemiological methods related to a variety of studies, including development of testable hypotheses, selection of study designs, randomization algorithms, and analytical considerations that correspond to particular study designs. Her statistical expertise are in survival and multi-level/longitudinal techniques. Dr. Shabanova's work has primarily been focused on collaborations with other researchers, including physicians and academicians, in the field of maternal and child health at Yale.
Last Updated on April 07, 2025.
Appointments
General Pediatrics
Associate Professor on TermPrimaryBiostatistics
Associate Professor on TermSecondary
Other Departments & Organizations
Education & Training
- PhD
- Yale University, Biostatistics (2017)
- MPH
- Yale University (1999)
- BS
- Kansas State University, Biology (1997)
Research
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Overview
Medical Research Interests
Clinical Trials as Topic; Cystic Fibrosis; Diabetes Mellitus, Type 1; Diabetes Mellitus, Type 2; HIV; Intensive Care, Neonatal; Lactation; Metabolic Diseases; Neurology; Pediatrics; Statistics as Topic; Venous Thrombosis
ORCID
0000-0001-9062-4906
Research at a Glance
Yale Co-Authors
Frequent collaborators of Veronika Shabanova's published research.
Publications Timeline
A big-picture view of Veronika Shabanova's research output by year.
Research Interests
Research topics Veronika Shabanova is interested in exploring.
Sarah N. Taylor, MD, MSCR
Fangyong Li, MS, MPH
Melissa Langhan, MD, MHS
Sarah McCollum
Nicola Hawley, PhD
Elijah Paintsil, FAAP, MD
152Publications
4,192Citations
Venous Thrombosis
Pediatrics
Diabetes Mellitus, Type 1
Diabetes Mellitus, Type 2
Intensive Care, Neonatal
Cystic Fibrosis
Publications
2026
Efficacy of glucagon-like-peptide-1 agonists for weight loss in adults with CHD.
Varghese P, Elder R, Vinocur J, Spatz E, Shabanova V, McCollum S, Harper M, Pastor T. Efficacy of glucagon-like-peptide-1 agonists for weight loss in adults with CHD. Cardiology In The Young 2026, 1-7. PMID: 42290594, DOI: 10.1017/s1047951126113109.Peer-Reviewed Original ResearchConceptsCongenital heart diseaseGlucagon-like-peptide-1Glucagon-like-peptide-1 agonistsMonths of treatmentRetrospective cohort studyACHD patientsWeight lossCongenital heart disease complexitySide effectsHeart diseasePeriod of follow-upSide effect profileYale-New Haven HospitalManagement of obesityACHD groupACHD populationEffect profileNew Haven HospitalFollow-upAcid refluxPrimary outcomeGlycaemic controlSecondary outcomesAgonistsACHDImpact of an Ambient AI Scribe on Medical Student Objective Structured Clinical Examination Notes: Nonrandomized Clinical Trial
Talwalkar J, Wright D, Schwamm L, Leydon G, Shabanova V. Impact of an Ambient AI Scribe on Medical Student Objective Structured Clinical Examination Notes: Nonrandomized Clinical Trial. JMIR Medical Education 2026, 12: e88264. PMID: 42125891, PMCID: PMC13273210, DOI: 10.2196/88264.Peer-Reviewed Original ResearchThis study investigates the impact of an AI scribe on medical student clinical notes, showing little effect on note quality overall but potential benefits for lower-performing students.Development and validation of a cuff size prediction model for pediatric blood pressure measurement outside the office
Nugent J, Cueto V, Medvecky H, Harper M, Batti V, Greenberg J, Shabanova V. Development and validation of a cuff size prediction model for pediatric blood pressure measurement outside the office. Pediatric Nephrology 2026, 1-8. PMID: 42207271, DOI: 10.1007/s00467-026-07344-0.Peer-Reviewed Original ResearchAltmetricConceptsElectronic health recordsNational Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyElectronic health record dataCuff sizeNutrition Examination SurveyIn-Person VisitsAmbulatory blood pressure monitoringAcademic medical centerDerivation cohortExamination SurveyHealth recordsBlood pressure measurementsIn-personPediatric hypertension clinicMedical CenterPredictors of ACValidation cohortEffects of ageGraphical abstractA higher resolution versionHypertension clinicCohortLinear regressionAgeBlood pressure monitoringLanguage barriers in pediatric food allergy care: A single-center study on healthcare disparities
Wong K, Pandya N, McCollum S, Shabanova V, Soffer G. Language barriers in pediatric food allergy care: A single-center study on healthcare disparities. PLOS ONE 2026, 21: e0346248. PMID: 41920880, PMCID: PMC13042783, DOI: 10.1371/journal.pone.0346248.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsEnglish-speaking patientsElectronic health recordsPortal activationHealthcare utilizationFood allergy careLanguage barriersEmergency department utilizationOptimal health outcomesEmergency department visitsFood allergyFood allergy outcomesCOVID-19 pandemicHealth disparitiesHealthcare disparitiesHealth outcomesHealth recordsDepartment visitsRetrospective cohort studyCohort of pediatric patientsPortal accessTertiary care referral centerAllergy careCohort studyPositive skin prick testUnited StatesFamily-Level Mediators in the Intergenerational Transmission of Maternal Childhood Trauma: Systematic Review and Meta-Analysis of Pooled Effect Measures.
Mew E, Poulin R, Shabanova V, Gorman H, Meadows M, Bonumwezi J, Chung V, Hennein R, Huang A, Quach K, Blas V, Ondrusek A, Weinreb K, Nyhan K, Soliai-Lemusu S, McCutchan-Tofaeono J, Hawley N, Lowe S. Family-Level Mediators in the Intergenerational Transmission of Maternal Childhood Trauma: Systematic Review and Meta-Analysis of Pooled Effect Measures. Child Maltreatment 2026, 10775595261425582. PMID: 41910153, DOI: 10.1177/10775595261425582.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsCitationsConceptsMaternal mental healthMaternal childhood traumaMental healthIntergenerational transmission of traumaSocial supportChildhood traumaMaternal characteristicsSystematic reviewTransmission of traumaIntergenerational transmissionChild mental healthMaternal social supportMental health problemsMeta-analysisPooled effect measuresChildren of mothersMaternal attachment stylePooled effectHealth problemsAttachment styleEffect sizeChild characteristicsHealthMaternal factorsRelationship factorsClinicians’ Perspectives on Implementing Contingency Management to Promote Parental Smoking Cessation in Routine Infant Care
Flom J, Camenga D, Shabanova V, McCollum S, Sandoval J, Chairuengjitjaras P, Forray A, Ledgerwood D, Edelman E, Sharifi M. Clinicians’ Perspectives on Implementing Contingency Management to Promote Parental Smoking Cessation in Routine Infant Care. Academic Pediatrics 2026, 26: 103301. PMID: 41871754, DOI: 10.1016/j.acap.2026.103301.Peer-Reviewed Original ResearchAltmetricConceptsFramework analysisSmoking cessationEvidence-based smoking cessation interventionsPediatric cliniciansImplementation strategiesCaregiver behavior changePediatric primary careQualified health centersAnalysis of interview transcriptsParental smoking cessationAwareness of CMSecondhand smoke exposureSmoking cessation interventionsPersonal smoking historyViews of caregiversContingency managementRoutine infant carePositive viewPrimary careSupport caregiversThematic saturationCessation interventionsClinicians' attitudesImplementation researchClinician perspectivesUrine Metabolism Biomarkers Predict Preterm Infant Adiposity at Hospital Discharge
Buck C, McCollum S, Wang W, Lam T, Taylor S, Shabanova V. Urine Metabolism Biomarkers Predict Preterm Infant Adiposity at Hospital Discharge. Molecular Nutrition & Food Research 2026, 70: e70431. PMID: 41817366, PMCID: PMC12981208, DOI: 10.1002/mnfr.70431.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsInfant adiposityDM groupTriceps skin fold thicknessHospital dischargeUrinary metabolite patternsMid-arm circumferenceSkin fold thicknessBody composition assessmentEarly metabolic changesUrinary amino acidsPostnatal adiposityPreterm groupGestational ageNewborn periodMetabolomics assayArm circumferencePretermFold thicknessUrinary metabolitesInfantsMetabolite patternsMetabolic changesAcylcarnitine concentrationsComposition assessmentUrine samplesIntergenerational impact of maternal trauma on adolescent depression: The role of parenting factors in Samoan mother-daughter dyads
Mew E, Lowe S, Shabanova V, Soliai-Lemusu S, Toelupe R, Iopu F, Naseri J, Loia M, Tasele S, Tofaeono J, Tofaeono V, Hawley N, McCutchan-Tofaeono J. Intergenerational impact of maternal trauma on adolescent depression: The role of parenting factors in Samoan mother-daughter dyads. Social Science & Medicine 2026, 404: 119173. PMID: 42275782, DOI: 10.1016/j.socscimed.2026.119173.Peer-Reviewed Original Research
2025
Don’t Get MAD
Georgadarellis A, Shabanova V, Hoffman P, Tiyyagura G, Auerbach M, Langhan M. Don’t Get MAD. Pediatric Emergency Care 2025, 42: 186-192. PMID: 41422423, DOI: 10.1097/pec.0000000000003526.Peer-Reviewed Original ResearchThis study investigates the impact of de-escalation training for pediatric emergency staff, showing improved attitudes, knowledge of disparities, and belief in verbal techniques over restraints.Stratification Bias in Associations Between Prepregnancy BMI and Neonatal Outcomes Following Extremely Preterm Birth
Wu B, Hawley N, Taylor S, Shabanova V. Stratification Bias in Associations Between Prepregnancy BMI and Neonatal Outcomes Following Extremely Preterm Birth. Obesity 2025, 34: 267-268. PMID: 41349962, DOI: 10.1002/oby.70092.Commentaries, Editorials and Letters
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- February 28, 2024
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- April 24, 2023
New way of measuring neonatal mortality uncovers 'paradoxical' racial disparity
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