Guangyu Tong, PhD
Assistant Professor of Cardiovascular Medicine and Assistant Professor of BiostatisticsCards
Appointments
Additional Titles
Director, Cardiovascular Medicine Analytics Center (CMAC)
Contact Info
Yale University
135 College St, Room 234
New Haven, CT 06510
United States
Appointments
Additional Titles
Director, Cardiovascular Medicine Analytics Center (CMAC)
Contact Info
Yale University
135 College St, Room 234
New Haven, CT 06510
United States
Appointments
Additional Titles
Director, Cardiovascular Medicine Analytics Center (CMAC)
Contact Info
Yale University
135 College St, Room 234
New Haven, CT 06510
United States
About
Titles
Assistant Professor of Cardiovascular Medicine and Assistant Professor of Biostatistics
Director, Cardiovascular Medicine Analytics Center (CMAC)
Biography
Dr. Guangyu Tong is the director of the Cardiovascular Medicine Analytics Center (CMAC), which provides statistical analytical support within the Section of Cardiovascular Medicine. He is an associate faculty member at the Center for Methods of Implementation and Prevention Science (CMIPS). He is an experienced biostatistician specializing in both clinical trials and observational studies. His methodological research focuses on pragmatic trial design and analysis, implementation science methods, causal inference, Bayesian statistics, missing data, and meta-analysis. His empirical research spans cardiovascular medicine, gun violence, mental health, crime and delinquency, substance use disorders, genetic determinants of health, and the well-being of immigrants and minorities.
Appointments
Cardiovascular Medicine
Assistant ProfessorPrimaryBiostatistics
Assistant ProfessorSecondary
Other Departments & Organizations
- Biostatistics
- Cardiovascular Medicine
- Cardiovascular Medicine Analytics Center (CMAC)
- Internal Medicine
Education & Training
- PhD
- Duke University (2020)
- MA
- Columbia University (2014)
- AB
- Peking University (2012)
Research
Overview
Medical Research Interests
Public Health Interests
ORCID
0000-0002-7697-5029
Research at a Glance
Yale Co-Authors
Publications Timeline
Research Interests
Fan Li, PhD
Jiaqi Tong
Kendra Plourde, PhD
Can Meng, MS, MPH
Denise Esserman, PhD
James Dziura, MPH, PhD
Gun Violence
Causality
Publications
2024
A review of current practice in the design and analysis of extremely small stepped-wedge cluster randomized trials.
Tong G, Nevins P, Ryan M, Davis-Plourde K, Ouyang Y, Pereira Macedo J, Meng C, Wang X, Caille A, Li F, Taljaard M. A review of current practice in the design and analysis of extremely small stepped-wedge cluster randomized trials. Clinical Trials 2024, 17407745241276137. PMID: 39377196, DOI: 10.1177/17407745241276137.Peer-Reviewed Original ResearchAltmetricConceptsSmall-sample correctionsStepped-wedge cluster randomized trialCluster randomized trialSample size calculation methodGeneralized linear mixed modelsLongitudinal correlation structureSize calculation methodLinear mixed modelsPermutation testSample sizeBayesian approachRandomized trialsCorrelation structureMixed modelsBayesian analysisGeneralized estimating equationsPermutationMedian sample sizeIntervention conditionRandomization methodEquationsHIV Symptom Clusters Among Sexual Minority Men in Ghana, West Africa: A Cross-sectional Study.
Akyirem S, Tong G, Aidoo-Frimpong G, Abwoye D, López D, Wilton L, Nelson L. HIV Symptom Clusters Among Sexual Minority Men in Ghana, West Africa: A Cross-sectional Study. Journal Of The Association Of Nurses In AIDS Care 2024 PMID: 39208416, DOI: 10.1097/jnc.0000000000000497.Peer-Reviewed Original ResearchConceptsSelf-concept/self-esteemSymptom clustersSexual minority menAssociated with higher distress scoresGastrointestinal symptom clusterLate HIV diagnosisHigher distress scoresSeven symptom clustersAnalyzed cross-sectional dataMinority menCross-sectional studyMultivariate linear regressionCross-sectional dataHIV symptomsDistress scoresHIV diagnosisPsychological symptomsPrevalent symptomsSymptom identificationSymptomsHIVLinear regressionClinical characteristicsNegative Life Events and Emotional Symptoms From Ages 2 to 30 Years
Copeland W, Keen R, Tong G, Shanahan L. Negative Life Events and Emotional Symptoms From Ages 2 to 30 Years. JAMA Network Open 2024, 7: e2429448. PMID: 39207754, PMCID: PMC11362870, DOI: 10.1001/jamanetworkopen.2024.29448.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsCross-sectional analysisEmotional symptomsNegative life eventsAssociated with emotional symptomsLife eventsYoung adulthoodAssociated with increased mental health symptomsCohort study analyzed dataStressful eventsTraumatic eventsMental health symptomsCross-sectional associationsLongitudinal analysisAged 2Years of follow-upStudy analyzed dataDevelopmental periodIndividuals aged 2Lifetime traumatic eventsHealth symptomsMain OutcomesLate adolescenceEmotional functioningCohort studyPrimary outcomeTrends in Firearm Injury Prevention Research Funding, Clinical Trials, and Publications in the US, 1985-2022
Lin J, Chang C, McCarthy M, Baker-Butler A, Tong G, Ranney M. Trends in Firearm Injury Prevention Research Funding, Clinical Trials, and Publications in the US, 1985-2022. JAMA Surgery 2024, 159: 461-463. PMID: 38324281, PMCID: PMC10851134, DOI: 10.1001/jamasurg.2023.7461.Peer-Reviewed Original ResearchCitationsAltmetricSociodemographic correlates of late HIV diagnosis among men who have sex with men (MSM) in Ghana
Aidoo-Frimpong G, Tong G, Akyirem S, Abwoye D, Nwanaji-Enwerem U, López D, Wilton L, Nelson L. Sociodemographic correlates of late HIV diagnosis among men who have sex with men (MSM) in Ghana. AIDS Care 2024, 36: 807-815. PMID: 38460152, DOI: 10.1080/09540121.2024.2325071.Peer-Reviewed Original ResearchConceptsLate HIV diagnosisHIV diagnosisOlder age groupsFactors associated with late HIV diagnosisIncreased risk of late diagnosisAge groupsRisk of late diagnosisImprove public health outcomesBurden of HIVAge-related disparitiesSame-gender sexual contactPublic health outcomesViral load suppressionExposure to HIVMedical engagementTailored interventionsHealth outcomesSociodemographic correlatesMedical servicesTargeted interventionsGhanaian menMSMDemographic variablesIncreased riskInterventionA BAYESIAN MACHINE LEARNING APPROACH FOR ESTIMATING HETEROGENEOUS SURVIVOR CAUSAL EFFECTS: APPLICATIONS TO A CRITICAL CARE TRIAL.
Chen X, Harhay M, Tong G, Li F. A BAYESIAN MACHINE LEARNING APPROACH FOR ESTIMATING HETEROGENEOUS SURVIVOR CAUSAL EFFECTS: APPLICATIONS TO A CRITICAL CARE TRIAL. The Annals Of Applied Statistics 2024, 18: 350-374. PMID: 38455841, PMCID: PMC10919396, DOI: 10.1214/23-aoas1792.Peer-Reviewed Original ResearchCitationsAltmetricHierarchical Bayesian modeling of heterogeneous outcome variance in cluster randomized trials
Tong G, Tong J, Jiang Y, Esserman D, Harhay M, Warren J. Hierarchical Bayesian modeling of heterogeneous outcome variance in cluster randomized trials. Clinical Trials 2024, 21: 451-460. PMID: 38197388, PMCID: PMC11233424, DOI: 10.1177/17407745231222018.Peer-Reviewed Original ResearchCitations
2023
Adherence to key recommendations for design and analysis of stepped-wedge cluster randomized trials: A review of trials published 2016–2022
Nevins P, Ryan M, Davis-Plourde K, Ouyang Y, Macedo J, Meng C, Tong G, Wang X, Ortiz-Reyes L, Caille A, Li F, Taljaard M. Adherence to key recommendations for design and analysis of stepped-wedge cluster randomized trials: A review of trials published 2016–2022. Clinical Trials 2023, 21: 199-210. PMID: 37990575, PMCID: PMC11003836, DOI: 10.1177/17407745231208397.Peer-Reviewed Original ResearchCitationsAltmetricA mixed model approach to estimate the survivor average causal effect in cluster‐randomized trials
Wang W, Tong G, Hirani S, Newman S, Halpern S, Small D, Li F, Harhay M. A mixed model approach to estimate the survivor average causal effect in cluster‐randomized trials. Statistics In Medicine 2023, 43: 16-33. PMID: 37985966, DOI: 10.1002/sim.9939.Peer-Reviewed Original ResearchCitationsAltmetricViolent Experiences and Patterns of Firearm Ownership From Childhood to Young Adulthood
Sivaraman J, Tong G, Easter M, Swanson J, Copeland W. Violent Experiences and Patterns of Firearm Ownership From Childhood to Young Adulthood. JAMA Network Open 2023, 6: e2336907. PMID: 37851447, PMCID: PMC10585415, DOI: 10.1001/jamanetworkopen.2023.36907.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsGun ownershipGun accessViolent experiencesFirearm accessGun cultureViolent exposuresLate 20sGun ownersFirearm ownershipViolent eventsYoung adulthoodSurvey dataIncident rate ratiosOwnershipViolenceRural countiesOpportune timeAge cohortsAge 25First waveAccessConsistent accessHigher relative riskGreat Smoky Mountains StudyExperience
Academic Achievements & Community Involvement
activity Journal of the American College of Cardiology
Journal ServiceStatistical EditorDetails04/01/2024 - Presentactivity BMC Medicine
Journal ServiceEditorial Board MemberDetails07/01/2023 - Presentactivity American Statistical Association Connecticut Chapter
Professional OrganizationsTreasurerDetails07/01/2022 - Presentactivity JAMA Cardiology
Journal ServiceReviewerDetails2021 - Presenthonor Faculty Scholar
National AwardNational Institute of Aging IMPACT CollaboratoryDetails07/01/2023United States
News
News
- December 11, 2024
Paradigm-shifting work brought biostatistics student to YSPH
- November 04, 2024Source: Yale Daily News
Yale experts weigh in on gun violence prevention research possibly under threat
- October 24, 2024
New Analytics Center for Cardiovascular Medicine
- July 02, 2024
Yale Faculty Members Named to JACC Editorial Board
Get In Touch
Contacts
Yale University
135 College St, Room 234
New Haven, CT 06510
United States