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Causal Inference, Observational Studies and Implementation Science Methodology

YSPH Biostatistics faculty are world leaders in development and application of new statistical methodologies for causal inference. Our faculty have developed statistical methods to solve important methodological problems in causal inference, including tools to address confounding bias, censoring and selection bias, measurement error, non-compliance, mediating variables, and network interference. From randomized trials to pragmatic/observational studies to implementation/dissemination science, the Biostatistics department catalyzes faster translation of biostatistical methods research into public health practice worldwide.

Faculty of Interest

  • Associate Professor of Biostatistics, Associate Professor of Ecology and Evolutionary Biology, Associate Professor of Management, and Associate Professor of Statistics and Data Science; Co-director, Public Health Modeling Concentration

    Research Interests
    • Biostatistics
  • Assistant Professor of Biostatistics (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
  • Assistant 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 and Professor of Cardiovascular Medicine, Yale School of Medicine; Professor, Department of Statistics and Data Science; Professor, Cardiovascular Medicine; Founding Director, Center for Methods in Implementation and Prevention Science (CMIPS); Assistant Director, Global Oncology, Yale Cancer Center; Affiliated Faculty, Yale Institute for Global Health

    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

    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