About The University of Michigan Department of Biostatistics Working Paper Series

Welcome to the Working Papers site for the Department of Biostatistics at the University of Michigan. The papers available on this site represent a selection of the current research being conducted by members of our department, which includes 23 faculty, 31 staff and 120 students. The Department of Biostatistics plays an instrumental role in bringing biostatistical expertise to a wide spectrum of health-related problems. We seek to advance knowledge in biostatistics and health through educational programs for students and applied researchers. The Department also plays a major service role, both within the University of Michigan and on the national and international stage.

The mission of the Department of Biostatistics is to provide leadership and outstanding scholarship in research teaching and service to meet the needs of society, the university, the health research community, and the statistics profession. In the accomplishment of this mission, the Department offers graduate programs and conducts biostatistical and collaborative research in health-related areas.

Faculty, students, and staff are working on current and important areas of biostatistical research including image analysis, survival and event history analysis, statistical genetics and bioinformatics, clinical trials, Bayesian methods, statistical computing, longitudinal data analysis, methods for missing data and survey research. Faculty, students and staff are also engaged in collaborative research with faculty in the Institute of Social Research and the Schools of Public Health, Medicine, Nursing, Dentistry and elsewhere. Both the methodological and collaborative research are highly funded through grants from the National Institutes of Health, National Science Foundation, and other governmental and private sources. Further information about the department may be found at www.sph.umich.edu/biostat.

ยป Visit the University of Michigan School of Public Health home page.