Data lead to answers.
Fundamental to public health research and policy, biostatistics is also one of the most interdisciplinary departments at Boston University School of Public Health. By designing studies, developing new methodologies, and extracting and analyzing information from data, we help inform decisions to promote better health.
Biostatistics faculty members are internationally recognized for methodological innovations in clinical trials and observational studies, statistical genetics analysis, and Bayesian methods. They have a long history of collaborating to address some of the world’s most pressing public health concerns, as well as training the next generation of students to tackle emerging public health and medical issues with cutting-edge methods and technological skills.
Areas in which we are active include genetic studies of risk factors for breast cancer; safety and efficacy assessments of a new Alzheimer’s disease drug; comparisons of patient outcomes with different behavioral interventions; and studies to identify genetic and non-genetic factors of healthy aging and extreme human longevity.
Affiliated Academic Programs:
Recent Department News
Frequent Emergency Care during Pregnancy Could Signal Greater Risk for Severe Maternal Morbidity
SPH Graduate Selected for Fulbright Award
Charlotte Greenhill, a graduate of Boston University's 4+1 program with a bachelor's degree in Latin American studies and an MPH with concentrations in global health and epidemiology and biostatistics from the School of Public Health, received a prestigious English Teaching Assistantship to Brazil.
Researchers Identify Novel Genetic Variants Associated with Alzheimer’s Disease
Latest Publications
- Published On 3/1/2025From statistics to deep learning: Using large language models in psychiatric research.International journal of methods in psychiatric researchread at PubMed
- Published On 2/1/2025American Heart Association’s Annual International Stroke Conference 2025Lifelong trends in vascular risk factors and cerebral small vessel disease
- Published On 2/1/2025Effectiveness of electronic medical record-based strategies for death and hospital admission endpoint capture in pragmatic clinical trials.Journal of the American Medical Informatics Association : JAMIAread at PubMed
- Published On 1/22/2025Robust Automated Harmonization of Heterogeneous Data Through Ensemble Machine Learning: Algorithm Development and Validation Study.JMIR medical informaticsread at PubMed
- Published On 1/20/2025Single- versus two-test criteria for cognitive impairment: associations with CSF and imaging markers in former American football players.The Clinical neuropsychologistread at PubMed