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
Environmental Health; Infectious Diseases; Clinical Trials; Epidemiology Methods; 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
Marie Brault, PhD
Sten H. Vermund, MD, PhD
Aline Herlopian, MD
Ashley Hagaman, PhD, MPH
Frederick (Rick) Lewis Altice, MD, MA
42Publications
1,049Citations
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 factorsImproving transportability of regression calibration under the main/external validation study design
Li Z, Spiegelman D, Wang M, Wang Z, Zhou X. Improving transportability of regression calibration under the main/external validation study design. Biometrics 2026, 82: ujag019. PMID: 41729171, DOI: 10.1093/biomtc/ujag019.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsRegression calibration modelHealth Professionals Follow-up StudyRegression calibrationEffect of dietary intakeValidation studyConfidence interval coverageRegression calibration methodNominal confidence interval coverageValidation study designLinear regression modelsStudy designDietary intakeTheoretical propertiesFollow-up studyInterval coverageRegression modelsMen's Lifestyle Validation StudyMeasurement errorParameter valuesMethod to dataRegression
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 populationImplementing LGBTQ-affirmative CBT: study protocol for an effectiveness-implementation trial at 90 LGBTQ community centers
Pachankis J, Chiaramonte D, Baldwin H, Prachniak C, Levine D, Van S, Hobbs R, Ankrum H, Wilkins L, Harvey T, Harkness A, Jackson S, Matsuno E, Soulliard Z, Last B, Burger J, Delehant M, Zhou X, Hagaman A, Li D, Mustanski B. Implementing LGBTQ-affirmative CBT: study protocol for an effectiveness-implementation trial at 90 LGBTQ community centers. BMC Health Services Research 2025, 25: 962. PMID: 40691571, PMCID: PMC12278521, DOI: 10.1186/s12913-025-13136-3.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsCognitive-behavioral therapyEvidence-based practiceLGBTQ community centersEffectiveness-implementation trialCommunity centersMental healthTraining of mental health providersTrain-the-trainer formatEvidence-based practice implementationLack of evidence-based practiceHealth disparity populationsMental health providersMental health disparitiesClients' mental healthMixed-methods designLow-resource settingsYear of supervisionProvider fidelityClinical effectiveness outcomesHealth disparitiesImplementation determinantsHealth providersCBT skillsWebinar trainingDisparate populationsLoneliness 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 ResearchCitationsAltmetricMeSH 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 profilePatientsYouth-Friendly Programming to Promote Gender Equity Attitudes and Sexual and Reproductive Health in Low-Income Communities in Mumbai, India: Outcomes From a Hybrid Pilot Trial
Brault M, Zhou X, Liu Y, Peskin M, Jagtap V, Singh R, Nair P, Vedanthan R, Singh N, Vermund S, Maitra S. Youth-Friendly Programming to Promote Gender Equity Attitudes and Sexual and Reproductive Health in Low-Income Communities in Mumbai, India: Outcomes From a Hybrid Pilot Trial. Journal Of Adolescent Health 2025, 76: s43-s44. DOI: 10.1016/j.jadohealth.2024.11.099.Peer-Reviewed Original ResearchPredicting 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
Longitudinal analysis of lifestyle risk factors, nutrition status and drivers of food choice among urban migrants in Ulaanbaatar, Mongolia, and Almaty, Kazakhstan: a formative study
Bromage S, Tazhibayev S, Zhou X, Liu C, Tserenkhuu E, Dolmatova O, Khishignemekh M, Musurepova L, Wusigale, Tsolmon S, Tsendjav E, Enkhmaa D, Kumar R, Enkhbat B, Menghe B, Ganmaa D. Longitudinal analysis of lifestyle risk factors, nutrition status and drivers of food choice among urban migrants in Ulaanbaatar, Mongolia, and Almaty, Kazakhstan: a formative study. Public Health Nutrition 2024, 28: e33. PMID: 39622631, PMCID: PMC11825362, DOI: 10.1017/s136898002400243x.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsDrivers of food choiceNutrition knowledgeFood choicesLifestyle risksDiet qualityAssociated with diet qualityNutritional statusLifestyle risk factorsLongitudinal analysisMeasures of nutritional statusFood environmentUrban migrantsHealthy dietEvidence baseGeneralised anxietyMultivariable adjustmentBody fatSleep qualityDiet patternMixed-effects modelsFasting GlucoseLifestyleRisk factorsNutritionCentral Asia
Academic Achievements & Community Involvement
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News
- 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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New Haven, CT 06510