Heping Zhang, PhD
Susan Dwight Bliss Professor of Biostatistics, Professor in the Child Study Center and Professor of Statistics and Data Science, Professor of Obstetrics, Gynecology, and Reproductive SciencesCards
Appointments
Additional Titles
Affiliated Faculty, Yale Institute for Global Health
Contact Info
Appointments
Additional Titles
Affiliated Faculty, Yale Institute for Global Health
Contact Info
Appointments
Additional Titles
Affiliated Faculty, Yale Institute for Global Health
Contact Info
About
Titles
Susan Dwight Bliss Professor of Biostatistics, Professor in the Child Study Center and Professor of Statistics and Data Science, Professor of Obstetrics, Gynecology, and Reproductive Sciences
Affiliated Faculty, Yale Institute for Global Health
Biography
Dr. Zhang published over 390 research articles and monographs in theory and applications of statistical methods and in several areas of biomedical research including epidemiology, genetics, child and women health, mental health, substance use, and reproductive medicine. He directed a training program in mental health research that was funded by the NIMH. He directs the Collaborative Center for Statistics in Science that coordinates the Reproductive Medicine Network to evaluate treatment effectiveness for infertility. He is a fellow of the American Statistical Association and a fellow of the Institute of Mathematical Statistics. He was named the 2008 Myrto Lefokopoulou distinguished lecturer by Harvard School of Public Health and a Medallion Award and Lecturer by the Institute of Mathematical Statistics. In 2011, he received the Royan International Award on Reproductive Health. Dr. Zhang was the president of the International Chinese Statistical Association in 2019. He is a former-editor of the Journal of the American Statistical Association - Applications and Case Studies. He was the recipient of the 2022 Neyman Award and Lecture by the Institute of Mathematical Statistics and the 2023 Distinguished Achievement Award by the International Chinese Statistical Association. He was selected as a 2023 Highly Cited Researcher in cross field by Web of Science.
Appointments
Biostatistics
ProfessorPrimaryChild Study Center
ProfessorSecondaryObstetrics, Gynecology & Reproductive Sciences
ProfessorSecondaryStatistics
ProfessorSecondary
Other Departments & Organizations
- Big Data Summer Immersion at Yale
- Biostatistics
- Center for Brain & Mind Health
- Child Study Center
- Collaborative Center for Statistics in Science (C2S2)
- Computational Biology and Biomedical Informatics
- Global Health Studies
- High Performance Computation
- Obstetrics, Gynecology & Reproductive Sciences
- Public Health Data Science and Data Equity
- Statistics
- Stress & Addiction Clinical Research Program
- Yale Combined Program in the Biological and Biomedical Sciences (BBS)
- Yale Institute for Global Health
- Yale School of Public Health
- Yale Ventures
- YSPH Global Health Concentration
Education & Training
- Postdoctoral Fellow
- Mathematical Science Research Institute (1991)
- PhD
- Stanford University (1991)
Research
Overview
- Analysis of Genomic Data for Complex Traits
- Data Coordination Center for Reproductive Medicine
- Clinical Trials for Infertility Treatments
Medical Research Interests
Public Health Interests
ORCID
0000-0002-0688-4076- View Lab Website
Collaborative Center for Statistics in Science
Research at a Glance
Yale Co-Authors
Publications Timeline
Research Interests
Fangbai (Janet) Sun, MPH
James Leckman, MD, PhD
Uma Reddy, MD, MPH
Hao Huang, MD, MPH
Xingguang Luo, MD
John Krystal, MD
Pregnancy
Infertility
Computational Biology
Genomics
Publications
2024
Variant Selection and Aggregation of Genetic Association Studies in Precision Medicine
Hu J, Wang S, Zhang H. Variant Selection and Aggregation of Genetic Association Studies in Precision Medicine. ICSA Book Series In Statistics 2024, 423-451. DOI: 10.1007/978-3-031-50690-1_17.Peer-Reviewed Original ResearchConceptsAssociation studiesGenetic association studiesPrecision medicineTests of associationHeterogeneous drug responsesDisease risk predictionVariant identificationSignal variantsControl of type I errorDisease riskDrug responseGenomic profilingType I errorRisk predictionGenetic biomarkersVariantsPharmaceutical interventionsMarginal testsAssociation methodAssociationMedicineInterventionIdentificationReplicationDiseaseThe effect of improved metabolic syndrome parameters on live birth
Spitzer T, Diamond M, Wild R, Legro R, Zhang H, Sun F, Ling S, Santoro N. The effect of improved metabolic syndrome parameters on live birth. Fertility And Sterility 2024, 122: 373-375. PMID: 38641159, DOI: 10.1016/j.fertnstert.2024.04.020.Peer-Reviewed Original ResearchConceptsMetabolic syndrome Z-scoreLifestyle interventionLive birthsLive birth rateMetabolic syndrome parametersZ-scoreMetabolic syndromeUnexplained infertilityIntrauterine inseminationOvarian stimulationSyndrome parametersMetabolic parametersObese WomenBirth outcomesLive birth outcomesIntervention phaseImprove metabolic syndromeSecondary analysisFisher's exact testStudy participantsZ-score differenceLifestyle modificationStudent's t-testBirth rateLogistic regressionTENSOR QUANTILE REGRESSION WITH LOW-RANK TENSOR TRAIN ESTIMATION.
Liu Z, Lee C, Zhang H. TENSOR QUANTILE REGRESSION WITH LOW-RANK TENSOR TRAIN ESTIMATION. The Annals Of Applied Statistics 2024, 18: 1294-1318. PMID: 38682044, PMCID: PMC11046526, DOI: 10.1214/23-aoas1835.Peer-Reviewed Original ResearchConceptsTensor trainCoefficient tensorRate of convergenceLow-rankQuantile regression frameworkApproximation-based methodVariation penaltyHuman intelligenceQuantile regression modelEstimation algorithmMRI image dataAsymptotic normalityArray of imagesScalar outcomeEmpirical performanceImage dataTrained estimatorDimensionalityNumerical studyMagnetic resonance imaging imagesQuantile regressionTensorRegression frameworkTT estimationImagesCost-effectiveness analysis of expectant vs active management for treatment of persistent pregnancies of unknown location
WALTER J, BARNHART K, KOELPER N, SANTORO N, ZHANG H, THOMAS T, HUANG H, HARVIE H, Network E. Cost-effectiveness analysis of expectant vs active management for treatment of persistent pregnancies of unknown location. American Journal Of Obstetrics And Gynecology 2024, 231: 328.e1-328.e11. PMID: 38552817, DOI: 10.1016/j.ajog.2024.03.035.Peer-Reviewed Original ResearchAltmetricConceptsQuality-adjusted life yearsTwo-dose methotrexateUterine evacuationExpectant managementIncremental cost-effectiveness ratioPersistent pregnancyCost-effectiveness ratioSurgical managementCost-effectiveness acceptability curvesPersistent pregnancy of unknown locationLife yearsLower-risk patient populationsSerum human chorionic gonadotropinPregnancies of unknown locationLaparoscopic surgical managementRate of salpingectomyManagement of pregnancyMean quality-adjusted life yearsMulticenter randomized trialRisk patient populationLower mean costsCosts of surgical interventionsHuman chorionic gonadotropinLower quality-adjusted life yearsAcceptability curvesHeterogeneity Analysis on Multi-State Brain Functional Connectivity and Adolescent Neurocognition
Wang S, Constable T, Zhang H, Zhao Y. Heterogeneity Analysis on Multi-State Brain Functional Connectivity and Adolescent Neurocognition. Journal Of The American Statistical Association 2024, 119: 851-863. PMID: 39371422, PMCID: PMC11451334, DOI: 10.1080/01621459.2024.2311363.Peer-Reviewed Original ResearchCitationsHow to minimize the dropout and crossover in an infertility trial?
Huang H, Kuang H, Thomas T, Wei D, Zhang H. How to minimize the dropout and crossover in an infertility trial? Fertility And Sterility 2024, 121: 905-908. PMID: 38316206, DOI: 10.1016/j.fertnstert.2024.01.035.Peer-Reviewed Original ResearchTowards precision oncology discovery: four less known genes and their unknown interactions as highest-performed biomarkers for colorectal cancer
Liu Y, Xu Y, Li X, Chen M, Wang X, Zhang N, Zhang H, Zhang Z. Towards precision oncology discovery: four less known genes and their unknown interactions as highest-performed biomarkers for colorectal cancer. Npj Precision Oncology 2024, 8: 13. PMID: 38243058, PMCID: PMC10799029, DOI: 10.1038/s41698-024-00512-1.Peer-Reviewed Original ResearchFibroids and unexplained infertility treatment with epigallocatechin gallate: a natural compound in green tea (FRIEND) – protocol for a randomised placebo-controlled US multicentre clinical trial of EGCG to improve fertility in women with uterine fibroids
Al-Hendy A, Segars J, Taylor H, González F, Siblini H, Zamah M, Alkelani H, Singh B, Flores V, Christman G, Johnson J, Huang H, Zhang H. Fibroids and unexplained infertility treatment with epigallocatechin gallate: a natural compound in green tea (FRIEND) – protocol for a randomised placebo-controlled US multicentre clinical trial of EGCG to improve fertility in women with uterine fibroids. BMJ Open 2024, 14: e078989. PMID: 38216200, PMCID: PMC10806662, DOI: 10.1136/bmjopen-2023-078989.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsUnexplained infertilityIntrauterine inseminationInstitutional review boardCumulative live birth rateUterine fibroidsLive birth rateCause of infertilityFood and Drug AdminstrationGonadotropin hormone-releasing hormoneGreen tea extractDouble-blind clinical trialNon-surgical treatment optionsTimed intrauterine inseminationUterine fibroid sizeOvarian stimulationQuality of Life Questionnaire scoresHormone-releasing hormoneLocal institutional review boardInfertility treatmentNational Institute of Child HealthInstitute of Child HealthMiscarriage rateBirth rateReproductive-age womenEndometrial qualityOptimal and Safe Estimation for High-Dimensional Semi-Supervised Learning
Deng S, Ning Y, Zhao J, Zhang H. Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning. Journal Of The American Statistical Association 2024, ahead-of-print: 1-12. DOI: 10.1080/01621459.2023.2277409.Peer-Reviewed Original ResearchCitationsConceptsSemi-supervised estimatorConditional mean functionMean functionSupervised estimationParameters of linear modelsSemi-supervised learningRegression parametersEstimation problemLinear modelSupplementary materialsTheoretical resultsParameter estimationSemi-supervised settingUnlabeled dataLabeled dataEstimationMinimaxMisspecificationNumerical simulationsDataFunctionLearningProblemData analysisUse of random integration to test equality of high dimensional covariance matrices.
Jiang Y, Wen C, Jiang Y, Wang X, Zhang H. Use of random integration to test equality of high dimensional covariance matrices. Statistica Sinica 2024, 33: 2359-2380. PMID: 37799490, PMCID: PMC10550010, DOI: 10.5705/ss.202020.0486.Peer-Reviewed Original ResearchCitations
Clinical Trials
Current Trials
FRIEND study- Fibroids and Unexplained Infertility Treatment with Epigallocatechin Gallate; A Natural CompounD in Green Tea
HIC ID2000032871RolePrincipal InvestigatorPrimary Completion Date05/31/2025Recruiting ParticipantsGenderFemaleAge18 years - 40 yearsPharmacokinetics and Hepatic Safety of EGCG
HIC ID2000029129RolePrincipal InvestigatorPrimary Completion Date09/30/2021Recruiting ParticipantsGenderFemaleAge18 years - 40 years
Academic Achievements & Community Involvement
honor Highly Cited Researcher in Cross Field
International AwardWeb of ScienceDetails11/15/2023honor Distinguished Achievement Award
International AwardInternational Chinese Statistical AssociationDetails08/09/2023honor Neyman Award and Lecture
International AwardInstitute of Mathematical StatisticsDetails06/29/2022United Statesactivity Live Birth After Fresh Embryo Transfer Vs Frozen-thawed Embryo Transfer in Women With Polycystic Ovary Syndrome (FreFro-PCOS)
ResearchDetails01/01/2012 - 01/01/2014Jinan, Shandong Sheng, ChinaAbstract/SynopsisFrom http://Clinicaltrials.gov: Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders in women of childbearing age. However, the optimal infertility treatment for PCOS patients is still a matter of controversy. Despite producing more follicles and more oocytes than other women undergoing controlled ovarian hyperstimulation during an IVF cycle, women with PCOS have comparable or lower pregnancy rates. Additionally women with PCOS patients undergoing IVF have a higher risk of developing ovarian hyperstimulation syndrome (OHSS), which may be aggravated by pregnancy after an embryo transfer in a fresh cycle. Further women with PCOS are thought to have higher rates of later pregnancy complications including spontaneous abortion, pre-eclampsia, and preterm labor that may be related to impaired implantation in the superovulated endometrium. We propose a randomized clinical trial of elective embryo cryopreservation followed by a programmed cycle of endometrial preparation and frozen embryo transfer (FET) compared to fresh embryo transfer in women with PCOS undergoing in vitro fertilization (IVF).
honor Royan International Research Award
International AwardRoyan InstituteDetails09/08/2011United States
News
News
- September 30, 2024
Pepper Center Awards Drive Aging and Dementia Studies
- August 17, 2023
Biostatistics leaders honored by ICSA
- November 28, 2022
Yale Biostatistician Heping Zhang Delivers Prestigious Neyman Lecture
- August 19, 2022
Yale Biostatistician Heping Zhang Delivers Prestigious Neyman Lecture
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