Research Centers
The Department of Biostatistics has a wide range of collaborative activities, either through the departmental centers listed below, or by having staff and faculty members engaged in research in other university centers. Members of the department provide statistical expertise for the design and analysis of multidisciplinary research projects and multi-center clinical trials. They also provide the infrastructure necessary to conduct these studies, including project management, clinical monitoring, database development, and web-based data entry.
Department of Biostatistics Collaborative Research Centers
- Cancer Data Science Shared Resource
- Center for Cancer Biostatistics
- CSG (Center for Statistical Genetics)
- KECC (Kidney Epidemiology and Cost Center)
- SABER (Statistical Analysis of Biomedical and Educational Research)
Other university centers with major collaborative ties with Biostatistics
- CSCAR (Center for Statistical Consultation and Research)
- MCRU (Michigan Clinical Research Unit)
- MICHR (Michigan Institute for Clinical & Health Research)
- ISR (U-M Institute for Social Research)
Community Outreach
- STATCOM is a student-led organization that provides pro-bono statistical consulting for governmental and non-profit organizations. Its clients generally do not have the funds to hire a professional consultant, but have information to collect or data to analyze that would help them in making more informed decisions about their operations. STATCOM's mission does not include consulting on projects from nongovernmental or for-profit entities, such as business or academic researchers.
- Professor Michael Elliott on NPR: U-M study links lower MEAP scores to lead exposure. Statcom student Nanhua Zhang (now an assistant professor at the University of South Florida) worked with Elliott, Detroit City epidemiologist and former SPH student Harolyn Baker, and others at the Detroit Department of Health and Detroit Public Schools in a study that that links lead exposure in children to lower achievement on standardized tests. The study is published in the March 2013 issue of the American Journal of Public Health.