- October 02, 2024
NIH Awards $1.5 Million Grant to Improve Factual Correctness in Large Language Models in Health Care
- September 30, 2024
Pepper Center Awards Drive Aging and Dementia Studies
- September 24, 2024
Long-term exposure to wildfire smoke associated with higher risk of death
- September 19, 2024
YSPH alumna applies biostatistician skills to improve drug outcomes
Data Science
The Yale School of Public Health has a long history of contributing to the development of quantitative methodologies and tools for rigorous scientific research to address the most challenging problems in biology, medicine and public health.
Our researchers are working to:
- Improve public health and epidemiological study design
- Data collection
- Computation
- Statistical analysis
- Interpretation of findings.
The school is a leader in:
- The development and application of statistical methods in genetics/genomics and bioinformatics
- Epidemiology
- Causal inference
- Clinical trials
- Spatial/spatiotemporal data
- High-dimensional analysis
- Machine learning
- Biomedical imaging
- Network analysis and statistical computation
- Implementation science and health informatics
Recent Publications
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Genome Biology
SUPERGNOVA: Local genetic correlation analysis reveals heterogeneous etiologic sharing of complex traits -
The Annals of Applied Statistics
A Hierarchical Baysian Model for Single-cell CLustering Using RNA-Sequencing Data -
PNAS
A Polynomial Algorithm for Best-subset Selection Problem -
Journal of the National Cancer Institute
Effect Sizes of Somatic Mutations in Cancer -
Epidemiology
Transmission Modeling with Regression Adjustment for Analyzing Household-based Studies of Infectious Disease: Application to Tuberculosis
Centers and other resources
- Center for Methods in Implementation and Prevention Science (CMIPS)CMIPS develops and disseminates innovative methodologic approaches to address implementation gaps and improve public health worldwide.
- Center for Interdisciplinary Research on AIDS (CIRA)CIRA provides HIV-related resources, skills, services, training, and professional networking opportunities to HIV researchers and practitioners who can contribute to advances in HIV prevention and treatment.
- Center for Perinatal, Pediatric and Environmental Epidemiology (CPPEE)CPPEE aims, through epidemiologic studies, to investigate the impact of environmental, genetic, and clinical factors on pregnancy, birth, and childhood.
- Yale Center for Analytical Sciences (YCAS)YCAS collaborative team provides expertise in the design, conduct, and analysis of health and health care studies, methodological development, and education and training.
- Collaborative Center for Statistics in Science (C²S²)C²S² fosters collaborations involving statistical methods and technology in scientific research, for understanding disease etiologies and developing treatment and prevention strategies.
for Faculty working in this area.