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.
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Recent Department News
Latest Publications
- Published On 8/1/2025Patient Determinants and Effects on Adherence of Adverse Drug Reactions to Tuberculosis Treatment: A Prospective Cohort Analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of Americaread at PubMed
- Published On 8/1/2025Novel modelling approaches to elucidate the genetic architecture of resilience to Alzheimer''s disease.Brain : a journal of neurologyread at PubMed
- Published On 7/14/2025ApoB and Lp(a): core measures to assess cardiovascular risk.European heart journalread at PubMed
- Published On 7/1/2025Associations of Prepandemic Lung Function and Structure with COVID-19 Outcomes: The C4R Study.American journal of respiratory and critical care medicineread at PubMed
- Published On 7/1/2025Mortality predicting models for patients with infective endocarditis: a machine learning approach.BMC medical informatics and decision makingread at PubMed