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
- December 07, 2023
VA/Yale Researchers Lead Multi-ancestry Study of Genetics of Problematic Alcohol Use
- December 05, 2023
Human and planetary health benefits of olive oil focus of fifth annual International Yale Symposium
- November 08, 2023
COVID Likely to Peak in Colder Months as Virus Becomes Endemic in the US
- November 07, 2023
Alumni Day highlights data-driven leadership
Faculty Affiliated Centers and Labs in Biostatistics and Statistical Methods
- 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, strategically selecting the issues that carry the greatest burden and hold the greatest promise for amelioration, right now.
- Center for Perinatal, Pediatric and Environmental Epidemiology (CPPEE)CPPEE is committed to research that promotes the health of women and children through epidemiologic studies investigating the impact of environmental, genetic, and clinical factors on pregnancy, birth, and childhood.
- Collaborative Center for Statistics in Science (C²S²)(C²S²) aims to be a leader in fostering collaborations involving statistical methods and technologies in any aspect of scientific research, particularly for understanding disease etiologies and developing treatment and prevention strategies.
- Public Health Modeling UnitThe YSPH Public Health Modeling Unit is a renowned program for researching and analyzing health systems in public health. The unit is also a leading training facility for the workforce, a quick responder during emergencies, and an intellectual hub for the University.