The mission of the Study Design and Biostatistics Center (SDBC) is to advance high quality research at the University of Utah and affiliated institutions by:
- Providing expert collaborations for study design, health measurement, and statistical analysis
- Developing novel methods and software for advancing clinical/translational research
- Providing statistical and epidemiologic education to University researchers
The SDBC consists of over 40 statisticians, epidemiologists and quantitative health scientists, with the majority holding PhD and/or MD degrees. We specialize in a wide variety of methods including clinical trial and observational study design, survey design and questionnaire development, item response theory and computer adaptive testing, statistical genetics and genomics, longitudinal analysis, linear and nonlinear mixed models, survival analysis, multivariate methods, modern causal inference, methods for patient-centered research, Bayesian modeling, computational statistics, cost effectiveness analysis, and diagnostic testing. We collaborate on more than 700 projects with over 350 investigators each year, with biomedical focus areas including cancer, internal medicine, pediatrics, orthopedics, OBGYN, surgery, ophthalmology, neurology and other specialties.
Goals of the Center
- To promote development and growth of the research structure within the University of Utah by providing enhanced biostatistical collaboration, study design and analysis support, and biostatistical education to University researchers.
- To integrate existing biostatistical resources, including specialized biostatistical expertise at University Departments, into a core that provides researchers with access to both general study support and expertise specialized to specific research areas.
- To enhance collaboration between biostatisticians and epidemiologists within the University research community, as well as between researchers and the community across all steps of the research process. This collaboration will foster development of novel biostatistical methods, tools, and software applicable to clinical and translational research.