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Modeling Complex Data

Yale Biostatistics faculty and researchers develop cutting edge statistical methodology to handle complex data in public health, biology and medicine. In recent years, a few areas have been a focus of advanced modeling efforts. Statistical genetics has evolved into multi-omics, a field including data on genetics, genomics, proteomics and metabolomics. Methodological and data science advances in the field have enabled precision medicine tools and a deeper understanding of biological processes. Spatial data continue to be relevant for addressing infectious diseases, climate change and air pollution and the geographic determinants of health, with methods evolving to meet these challenges. And analyzing networks is crucial to understanding populations at the social and biological levels, providing modern challenges to traditional statistical methods. YSPH is at the forefront of interdisciplinary public health modeling, providing policy makers and care delivery organizations the data and analyses they need to make decisions.

2022 Neyman Memorial Lecture Video: “Genes, Brain, and Us”

Heping Zhang, the Susan Dwight Bliss Professor of Biostatistics at the Yale School of Public Health, gives the prestigious 2022 Neyman Memorial Lecture by the Institute of Mathematical Statistics (IMS) at its annual meeting in London, June 27-30, 2022. Given every three years, this is one of the highest honors in statistical societies. The Neyman Lecture highlights innovative work at the intersection of statistical theory and scientific research. The honor carries with it a hefty bit of prestige: Named after groundbreaking Polish statistician Jerzy Neyman, a founder of modern statistical inference, the lecture has been given by just over a dozen of the top researchers in the field. The IMS, a leading statistical society, also invited Zhang to contribute an article related to his lecture to its publications.

IMS Neyman Lecture: "Genes, Brain, and Us"

by Heping Zhang - June 29, 2022

Faculty of Interest

  • Professor of Medicine (Geriatrics) and of Biostatistics; Leader, Data Management and Statistics Core, Yale Alzheimer's Disease Research Center, Internal Medicine; Associate Director of Gerontologic Biostatistical Methods, Internal Medicine: Geriatrics; Senior Biostatistician and Epidemiologist, Internal Medicine: Rheumatology; Co-Director of Biostatistical Core, Internal Medicine: Geriatrics

    Research Interests
    • Mathematical Concepts
    • Aging
    • Biostatistics
    • Geriatrics
    • Frail Elderly
    • Epidemiologic Methods
    • Statistics as Topic
  • Professor of Biostatistics; Director of Medical Research, School of Public Health

    Research Interests
    • Statistics as Topic
    • Oligodendroglioma
    • Neurosurgery
    • Meningioma
    • Central Nervous System Neoplasms
    • Astrocytoma
    • Breast Neoplasms
    • Epidemiology
    • Glioma
  • Associate Professor of Biostatistics; Affiliated Faculty, Yale Institute for Global Health

    Research Interests
    • Social Networking
    • Observational Study
    • HIV
    • Health Plan Implementation
    • Global Health
    • Clinical Trial
    • Causality
    • Behavioral Sciences
    • Biostatistics
  • Associate Professor of Biostatistics

    Research Interests
    • Statistics
    • Neurosciences
    • Machine Learning
    • Immune System Diseases
    • Gene Regulatory Networks
    • Genetics
    • Epigenomics
    • Computational Biology
  • Assistant Professor of Biostatistics

    Research Interests
    • Drug Evaluation
    • Epidemiologic Methods
    • Regression Analysis
    • Models, Statistical
    • Biostatistics
    • Vaccine-Preventable Diseases
    • Data Science
    • Communicable Diseases
  • Elihu Professor of Biostatistics and Professor of Ecology and Evolutionary Biology; Co-Leader, Genomics, Genetics, & Epigenetics Research Program

    Research Interests
    • Evolution, Molecular
    • Genetic Engineering
    • Genetic Phenomena
    • Fungi
    • Gene Expression Profiling
    • Gene Transfer Techniques
    • Genetic Speciation
    • Beer
    • Biological Evolution
    • Algorithms
    • Bacteria
    • Bacterial Infections and Mycoses
    • Coccidioidomycosis
    • Bread
    • Cell Transformation, Neoplastic
    • Computing Methodologies
    • Crops, Agricultural
    • Public Health Informatics
    • Sequence Analysis, DNA
    • Sequence Analysis, Protein
    • Polymerase Chain Reaction
    • Phenomena and Processes
    • Phylogeny
    • Organisms
    • Nonlinear Dynamics
    • Host-Pathogen Interactions
    • Neoplasms
    • Mycoses
    • Nature
    • Neoplasm Metastasis
    • Models, Theoretical
    • Molecular Epidemiology
    • Models, Genetic
    • Models, Statistical
    • Microarray Analysis
    • Microbiological Phenomena
    • Logistic Models
    • Likelihood Functions
    • Mathematical Concepts
    • Wine
    • Viruses
  • Professor of Biostatistics

    Research Interests
    • Computational Biology
    • Data Science
    • Biostatistics
    • Electronic Health Records
    • Genetics
    • Genomics
    • Public Health
    • Psychiatry
    • Informatics
    • Machine Learning
    • Mental Health
    • Longitudinal Studies
    • Multiomics
    • Neurosciences
    • Single-Cell Analysis
  • Professor of Biostatistics

    Research Interests
    • Biostatistics
    • Algorithms
    • Disorders of Environmental Origin
    • Eye Diseases
    • Pregnancy Complications
    • Probability
    • Statistics as Topic
    • Stochastic Processes
    • Statistical Distributions
    • Virus Diseases
  • 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

    Research Interests
    • Computational Biology
    • Child Psychiatry
    • Biostatistics
    • Genomics
    • Epidemiology
    • Psychiatry
    • Pregnancy
    • Infertility
    • Mental Health
    • Statistics
  • Ira V. Hiscock Professor of Biostatistics, Professor of Genetics and Professor of Statistics and Data Science

    Research Interests
    • Computational Biology
    • Biostatistics
    • Genomics
    • Genetics
    • Microbiota
    • Public Health
    • Proteomics
    • Single-Cell Analysis
    • Statistics
    • Wearable Electronic Devices
  • Associate Professor of Biostatistics and Associate Professor of Biomedical Informatics & Data Science

    Research Interests
    • Psychiatry
    • Neuroimaging
    • Neurodegenerative Diseases
    • Mental Health
    • Biomedical Research
    • Biostatistics
    • Aging
    • Electronic Health Records
    • Genetics
  • Assistant Professor of Biostatistics

    Research Interests
    • Precision Medicine
    • Randomized Controlled Trial
    • Research Design
    • Implementation Science
    • Epidemiologic Methods
    • Biostatistics
    • Dimensional Measurement Accuracy
    • Clinical Trial