Department of Biostatistics
Research and Study
The Yale School of Public Health Biostatistics department develops quantitative methodologies and tools for rigorous scientific research to solve the world’s most challenging problems in biology, medicine and public health. Our view of biostatistics encompasses all aspects of the scientific method, from study design and data collection to computation, statistical analysis, and interpretation of findings.
Biostats faculty are leaders in the research, development, and application of statistical methods in the areas below.
Division of Health Informatics
The Division of Health Informatics is invested in training and research around issues surrounding big data acquisition and its management in health care as well as biomedical and public health research. The science of health informatics drives innovation-defining future approaches to information and knowledge management in biomedical research, clinical care and public health.
Areas of Interest
Statistical Genetics/Genomics, Spatial Statistics and Modeling
Causal Inference, Observational Studies and Implementation Science Methodology
Health Informatics, Data Science and Reproducibility
Clinical Trials and Outcomes
Machine Learning and High Dimensional Data
- April 08, 2024
Award-Winning Statistician Joins Yale School of Public Health Leadership
- April 01, 2024
Yale Cancer Center Experts, Scientists to Share Vision and Research at Leading Conference
- March 18, 2024
Yale Cancer Center Experts Present New Research on Obesity, Tobacco, Evolution, and Early Onset Cancers at Leading Oncology Conference
- February 28, 2024Source: YaleNews
Risk of Hospital Readmission After Surgery Is High for Older Americans
Faculty Affiliated Centers and Labs in Biostatistics and Statistical Methods
- 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 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 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.
- 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.
- Family Accommodation Obsessive-Compulsive DisorderFAOCD refers to family members' or significant others’ participation in or facilitation of patients’ rituals and/or avoidance.
- Public Health Modeling UnitThis renowned program uses mathematical representations of disease spread, healthcare processes, and human behavior to make better public health decisions and predictions.
- 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.
- Yale Institute for Global Health (YIGH)YIGH serves as the focal point for research, education, and engagement with global partners to improve the health of individuals and populations worldwide.