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Causal Inference and Implementation

YSPH Biostatistics faculty are world leaders in development and application of new statistical methodologies for causal inference, the challenge of making valid cause-and-effect claims from messy, real-world data. Our faculty have developed statistical methods to solve important methodological problems, such as confounding bias, censoring, selection bias, measurement error, non-compliance, mediating variables and network interference and spillover. From randomized trials to observational studies to methods for implementation and prevention science, the Biostatistics department catalyzes faster translation of biostatistical methods research into public health practice worldwide

Faculty of Interest

  • Associate Professor of Biostatistics; Affiliated Faculty, Yale Institute for Global Health

    Research Interests
    • Behavioral Sciences
    • Health Plan Implementation
    • HIV
    • Global Health
    • Causality
    • Clinical Trial
    • Biostatistics
    • Social Networking
    • Observational Study
  • Senior Research Scientist in Biostatistics; Director of Biostatistics in Psychiatry

    Research Interests
    • Psychiatry
    • Research Design
    • Models, Statistical
    • Risk Assessment
    • Biostatistics
  • Research Scientist in Biostatistics (CMIPS); Director, Dissemination and Implementation Science Methods (DISM) Core, Center for Interdisciplinary Research on AIDS; Affiliated Faculty, Yale Institute for Global Health

    Research Interests
    • Clinical Trials as Topic
    • Environmental Health
    • Epidemiology
    • HIV
    • Neoplasms
    • Stomach Neoplasms
    • Global Health
    • Nutritional Sciences
    • Translational Research, Biomedical
  • Associate Professor of Biostatistics

    Research Interests
    • Epidemiologic Methods
    • Longitudinal Studies
    • Research Design
    • Selection Bias
    • Causality
    • Survival Analysis
    • Randomized Controlled Trial
    • Multilevel Analysis
    • Comparative Effectiveness Research
    • Propensity Score
    • Observational Study
    • Pragmatic Clinical Trial
    • Machine Learning
    • Mediation Analysis
  • Assistant Professor of Biostatistics; Co-Training Director, Health Informatics MS

    Research Interests
    • Computer Simulation
    • Neurosciences
    • Computational Biology
    • Informatics
    • Biostatistics
  • Professor Emeritus of Biostatistics and Senior Research Scientist of Biostatistics

    Research Interests
    • Aging
    • Clinical Trials as Topic
    • Biostatistics
    • Patient Preference
    • Pragmatic Clinical Trials as Topic
  • Susan Dwight Bliss Professor of Biostatistics; Director, Center for Methods in Implementation and Prevention Science (CMIPS); Professor of Statistics and Data Science; Professor of Medicine (Cardiovascular Medicine); Assistant Director, Global Oncology, Yale Cancer Center

    Research Interests
    • Cardiovascular Diseases
    • Epidemiologic Methods
    • Health Plan Implementation
    • Maternal Mortality
    • Obesity
    • Global Health
    • HIV Infections
    • Clinical Trial
    • Biostatistics
    • Implementation Science
  • Associate Professor of Biostatistics; Associate Professor, Biomedical Informatics & Data Science

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

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

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