The mission of the Biostatistics, Epidemiology, and Research Design (BERD) 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 BERD 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 BERD Core can:
- Develop appropriate teams to facilitate collaborative relationships between methodologists (including but not limited to experts in biostatistics, bioinformatics, data science, and qualitative research) and basic and clinical investigators
- Provide expertise and guidance on all aspects of study design, statistical methodology implementation, and results interpretation
- Participate in protocol development and grant applications with design, analysis considerations, and power/sample size calculations
- Collaborate with the Duke Office of Clinical Research (DOCR) in database design and programming
- Design and conduct statistical analyses for prospective and retrospective studies
- Collaborate on manuscript preparation, serve as co-authors
- Provide methodological and statistical education and training for both methodology experts and investigators
The BERD Core is housed within the Department of Biostatistics and Bioinformatics and calls upon that department’s faculty and graduate students.
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.