The mission of the Biostatistics Core is to work with an interdisciplinary network of clinical investigators conducting research at Duke by providing expertise in study design, implementation of statistical methodology and interpretation of results. The Core includes a team of faculty and staff biostatisticians with diverse and extensive experience conducting a broad range of research.
The Biostatistics Core is partially supported with funds from Duke’s Clinical and Translational Science Award (Duke CTSA) and housed within Duke's Department of Biostatistics and Bioinformatics. The Core offers free walk in hours for any investigator. The Biostatistics core staff match investigators without regular access to a statistician with the statistical expertise to conduct their studies. The goal is to provide access to statisticians for research groups.
The Biostatistics Core can:
- help develop research hypotheses
- collaborate on grant applications
- provide study design expertise
- conduct statistical analysis
- collaborate on manuscript preparation
- provide statistical education and training
The Biostatistics Core is housed within the Department of Biostatistics and Bioinformatics and calls upon that department’s faculty and graduate students. Approximately 18 B&B faculty members are working with the Core at any given time. Often a statistician partners with a researcher to assist in the planning of a grant, and then receives funding as a key personnel once the grant is awarded.
Ways to Start a Collaboration
- Submit a request.
- Attend walk-in office hours, every Monday 9 AM to 10 AM in Hock Plaza, Floor 11, Room 11016
- Contact your CRU manager or CRU statistician
Note: Because the Biostatistics Shared Resource is not a fee for service core, it is not eligible for the SOM Core Facility Voucher Program.
Core Seminar Series
The Applied Biostatistics Seminar Series consists of a series of talks with the primary purpose of furthering statistical knowledge on an applied level. Each seminar focuses on advances in biostatistical methods and statistical programming techniques and their translation into addressing biomedical research questions. The seminars are open to all members of the Duke community, but primarily geared toward applied statistical researchers.