Xin Zhou, PhD
Assistant Professor of BiostatisticsDownloadHi-Res Photo
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Assistant Professor of Biostatistics
Biography
Dr. Zhou is an assistant professor in the Department of Biostatistics at the Yale School of Public Health. He received his Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill in 2015. Prior to arriving at Yale, Dr. Zhou was a Postdoc Fellow in the Departments of Biostatistics and Epidemiology at Harvard T.H. Chan School of Public Health. His research is focused on statistical and machine learning methods in precision medicine, measurement error correction, cluster randomized trials, and high dimensional data analysis.
Last Updated on January 06, 2025.
Appointments
Biostatistics
Assistant ProfessorPrimary
Other Departments & Organizations
Education & Training
- Postdoc Fellow
- Harvard T.H. Chan School of Public Health (2018)
- PhD
- University of North Carolina at Chapel Hill, Biostatistics (2015)
- MS
- University of North Carolina at Chapel Hill, Biostatistics (2013)
Research
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Overview
Medical Research Interests
Biostatistics; Clinical Trial; Dimensional Measurement Accuracy; Epidemiologic Methods; Implementation Science; Precision Medicine; Randomized Controlled Trial; Research Design
Public Health Interests
Infectious Diseases; Clinical Trials; Epidemiology Methods; Environmental Health; Cancer; Nutrition; Survival Analysis
Research at a Glance
Yale Co-Authors
Frequent collaborators of Xin Zhou's published research.
Publications Timeline
A big-picture view of Xin Zhou's research output by year.
Research Interests
Research topics Xin Zhou is interested in exploring.
Donna Spiegelman, ScD
Aline Herlopian, MD
Frederick Lewis Altice, MD, MA
Hamada Hamid Altalib, DO, MPH, FAES
Luke Davis, MD
Rajiv Radhakrishnan, MBBS, MD, FAPA
35Publications
1,032Citations
Research Design
Publications
2026
Cenobamate beyond Epilepsy: exploring associations with vascular risk factors through serological markers
Jimenez A, Zhou X, Agadzhanian N, Hanin A, Toghramadjian I, Okafor C, Nuthalapati P, Tallapalli J, Sakya S, Singh A, Altalib H, Mattson R, Schoenfeld M, Herlopian A. Cenobamate beyond Epilepsy: exploring associations with vascular risk factors through serological markers. Epilepsy & Behavior 2026, 176: 110890. PMID: 41616663, DOI: 10.1016/j.yebeh.2026.110890.Peer-Reviewed Original ResearchAltmetricConceptsInternational normalized ratioAnti-seizure medicationsTotal cholesterolLDL-CHDL-CRetrospective analysisLipoprotein cholesterolVascular effectsDiabetes mellitusRisk factorsLow-density lipoprotein cholesterolHigh-density lipoprotein cholesterolRetrospective analysis of adultsDefinitive evaluationLipid profile changesEnzyme-inducing agentsDose-dependent changesDose-dependent effectCerebrovascular risk factorsAnalysis of adultsStatin useAnticoagulant useMulticenter studyRetrospective studyVascular risk factors
2025
Nonparametric Estimation of the Potential Impact Fraction and the Population Attributable Fraction With Individual‐Level and Aggregated Data
Chan C, Zepeda‐Tello R, Camacho‐García‐Formentí D, Cudhea F, Meza R, Rodrigues E, Spiegelman D, Barrientos‐Gutierrez T, Zhou X. Nonparametric Estimation of the Potential Impact Fraction and the Population Attributable Fraction With Individual‐Level and Aggregated Data. Statistics In Medicine 2025, 44: e70214. PMID: 40798868, DOI: 10.1002/sim.70214.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsDistributional assumptionsFinite sample performanceImpact of distributional assumptionsPotential impact fractionNonparametric estimationSample performanceDistributional violationsPopulation attributable fractionImpact fractionNonparametric methodsSimulation studyContinuous exposure dataPopulation impact fractionsAttributable fractionSugar-sweetened beverage consumptionIncidence of type 2 diabetesAssumptionsExposure distributionEstimationAggregate dataBeverage consumptionNonparametricType 2 diabetesIndividual-levelTarget populationLoneliness among refugees: a neglected crisis in need of scalable innovation
Liu S, Bromberg D, Haucke M, Zhou X, Poole D, Bärnighausen T, Altice F. Loneliness among refugees: a neglected crisis in need of scalable innovation. The Lancet Regional Health - Europe 2025, 54: 101355. PMID: 40599742, PMCID: PMC12212147, DOI: 10.1016/j.lanepe.2025.101355.Peer-Reviewed Original ResearchLongitudinal and Geographic Trends in Perceived Racial Discrimination Among Adolescents in the United States: The Adolescent Brain Cognitive Development Study
Fields C, Black C, Calhoun A, Rosenblatt M, Rodriguez R, Aina J, Thind J, Grayson J, Khalifa F, Assari S, Zhou X, Nagata J, Gee D. Longitudinal and Geographic Trends in Perceived Racial Discrimination Among Adolescents in the United States: The Adolescent Brain Cognitive Development Study. Journal Of Adolescent Health 2025, 77: 118-127. PMID: 40382724, DOI: 10.1016/j.jadohealth.2025.03.014.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsNon-Hispanic youthPerceived DiscriminationDevelopment studiesHigher levels of perceived discriminationAmerican Community SurveyAnti-Black biasLevels of perceived discriminationPacific IslandersPerceived Discrimination ScaleWhite non-Hispanic youthNeighborhood segregationBlack householdsBlack youthContext-specific approachImmigrant backgroundPerceived Racial DiscriminationRacial discriminationCommunity surveyRacial biasYouthGeographic variationStructural contextAdolescent Brain Cognitive Development StudyNational representativesRacial/ethnic groupsCenobamate and pregnancy: A-single level 4 epilepsy center experience
Jimenez A, Toghramadjian I, Okafor C, Hanin A, Zhou X, Dorotan M, Nuthalapati P, Sakya S, Hirsch L, Altalib H, Lazorwitz A, Herlopian A. Cenobamate and pregnancy: A-single level 4 epilepsy center experience. Epilepsy & Behavior 2025, 169: 110440. PMID: 40318387, DOI: 10.1016/j.yebeh.2025.110440.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsConcentration-to-dose ratioPost-partum periodUnintended pregnancyContraceptive methodsSingle-center retrospective chart reviewFemales of childbearing ageEarly-term birthPrevent unintended pregnancyAdult female patientsDrug level monitoringMonths of agePre-conceptual counsellingElective terminationSpontaneous miscarriagePregnancy outcomesCongenital malformationsFemale patientsHormonal contraceptionChildbearing ageMedical comorbiditiesCenobamatePregnancyContraceptive usePharmacokinetic profilePatientsPredicting antiretroviral medication adherence among substance-using people with HIV: test and extension of the information-motivation-behavioral skills model
Krishnan A, Ranjit Y, Zhou X, Altice F. Predicting antiretroviral medication adherence among substance-using people with HIV: test and extension of the information-motivation-behavioral skills model. Journal Of Behavioral Medicine 2025, 48: 403-413. PMID: 39924604, DOI: 10.1007/s10865-025-00557-y.Peer-Reviewed Original ResearchCitationsConceptsCocaine use disorderSubstance use disordersBehavioral skillsInformation-motivation-behavioral (IMB) skills modelSkills modelInformation-motivation-behavioral skills modelAntiretroviral medication adherenceUse disorderAntiretroviral therapyART adherenceMedication adherenceDaily adherenceImprove ART adherenceMotivational barriersDisordersAntiretroviral therapy adherenceMotivational factorsPractical barriersReduce HIV transmissionEnhance ART adherenceSuboptimal adherenceVirological failureHIV transmissionCocaineAdherence
2024
Effects of Buprenorphine, Methadone, and Substance Use on COVID-19 Morbidity and Mortality
Christian N, Zhou X, Radhakrishnan R. Effects of Buprenorphine, Methadone, and Substance Use on COVID-19 Morbidity and Mortality. Journal Of Addiction Medicine 2024, 19: 223-226. PMID: 39475125, DOI: 10.1097/adm.0000000000001386.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsActive substance useSubstance useAssociated with increased morbidityDuration of hospitalizationCOVID-19 outcomesOpioid useSubstance use disordersImpact of substance useCOVID-19 infectionEffects of buprenorphineOpioid use disorderRetrospective cohort studyUse disorderAll-Cause MortalityCOVID-19 positive patientsUrine toxicologyMultivariate logistic regressionAssociated with statistically significant increasesMedical comorbidityStatistically significant differenceMOUD treatmentStatistically significant increaseAssociated with worse COVID-19 outcomesCOVID-19 morbidityUrban hospital system
2023
Substance Use Disorder and Health Outcomes in COVID-19—The Need for a Better Research Method to Determine Substance Use Exposure
Christian N, Zhou X, Radhakrishnan R. Substance Use Disorder and Health Outcomes in COVID-19—The Need for a Better Research Method to Determine Substance Use Exposure. JAMA Psychiatry 2023, 80: 968-968. PMID: 37405794, DOI: 10.1001/jamapsychiatry.2023.2113.Peer-Reviewed Original ResearchCitationsCorrecting for Bias Due to Mismeasured Exposure History in Longitudinal Studies with Continuous Outcomes
Cai J, Zhang N, Zhou X, Spiegelman D, Wang M. Correcting for Bias Due to Mismeasured Exposure History in Longitudinal Studies with Continuous Outcomes. Biometrics 2023, 79: 3739-3751. PMID: 37222518, PMCID: PMC11214728, DOI: 10.1111/biom.13877.Peer-Reviewed Original ResearchCitationsImplementation of a Hardware-Assisted Bluetooth-Based COVID-19 Tracking Device in a High School: Mixed Methods Study
Li D, Shelby T, Brault M, Manohar R, Vermund S, Hagaman A, Forastiere L, Caruthers T, Egger E, Wang Y, Manohar N, Manohar P, Davis J, Zhou X. Implementation of a Hardware-Assisted Bluetooth-Based COVID-19 Tracking Device in a High School: Mixed Methods Study. JMIR Formative Research 2023, 7: e39765. PMID: 36525333, PMCID: PMC10131711, DOI: 10.2196/39765.Peer-Reviewed Original ResearchCitationsAltmetricConceptsContact tracingPilot implementation studyPublic health toolMixed-methods evaluationTechnical difficultiesSignificant numberQualitative focus group discussionsClose contactInfectious diseasesHealth toolsLarge-scale pandemicMixed-methods studyImplementation outcomesCOVID-19Significant differencesImplementation studyEmotional reassuranceFocus group discussionsMost contactMixed methods designMethods studySustained useCase interviewsMaintenance frameworkHabits
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- August 29, 2023
$4 Million Grant Will Help YSPH Team Implement New LGBTQ Mental Health Therapy
- August 08, 2022
Colleen Chan, Yale Department of Statistics and Data Science PhD student, receives the Florence Nightingale Award at the 31st International Biometric Conference
- August 30, 2021
Researchers at the Yale Center for Methods in Implementation and Prevention Science Develop New Software for Power Calculations in Stepped Wedge Cluster Randomized Trials
- July 27, 2020
YSPH Researchers Find that Vitamin D Supplementation Does Not Lower Children’s Risk of TB Infection
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