About SABER:
   

The Statistical Analysis of Biomedical and Educational Research Group (SABER) unit of the Department of Biostatistics provides expertise in the design, conduct and analysis of multi-center clinical trials and multi-disciplinary research.  Founded as the Center for Clinical Investigation & Therapeutics (CCIT) by Dr. Morton Brown in 1999, the center has also been known as the Center for the Advancement of Clinical Research (CACR) and Biometrics and Outcomes Research Core (BORC) prior to the 2011 launch of SABER. 

SABER is composed of faculty members from the Department of Biostatistics and an experienced staff of ~30 individuals specializing in project management and clinical monitoring, statistical analysis, database programming, data entry and management, web design and research administration.  We have served as the Data Coordinating Center (DCC) for several NIH network-based, individual-investigator, and pharmaceutical company-sponsored studies, for which we have the capacity to simultaneously support multiple clinical studies at various stages of development.  These collaborations have led to more than 100 publications in peer-reviewed journals and 150 presentations or posters at scientific meetings.

Data is at the core of our center’s business … and to that end, we provide a robust computing environment that includes secure, redundant servers for database and web applications, an Oracle back-end database, and a web interface for site data entry and management.  We collaborated with MICHR (another University of Michigan institute dedicated to clinical research) on the deployment of a 21 CFR Part 11 compliant database system, OpenClinica.   

What truly sets SABER apart is our willingness to work in partnership with investigators to tackle new challenges in clinical research --- Whether it be a statistical methodological issue such as handling non-compliance in a randomized clinical trial of a behavioral intervention, or an operational issue such a development of a bar-coded specimen tracking process and database for an observational cohort study, SABER applies its resources to deliver time-effective design and quality-based output that meet investigational needs.

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