Biostatistics & Design Program
The Biostatistics & Design Program (BDP) provides biostatistics support to basic, clinical and population science investigators who are conducting research at OHSU. The primary directive of the BDP is to improve scientific quality and rigor of research through statistical consultation and support at all phases of research.
BDP faculty and staff have a long history collaborating on design and analysis of a wide range of content areas in the health sciences, and are experts in the design of clinical trials, clinical and community-based intervention studies, laboratory experiments, and observational studies. We will help investigators select the most appropriate study design to align with their research questions.
Collectively our group has vast expertise in classical and modern statistical techniques including (but not limited to): clinical trial analyses, methods for high dimensional data (‘omics), risk prediction, complex survey analyses, measurement error models, time-to-event and longitudinal models, and statistical simulation.
BDP can also provide support for complex data management/data wrangling, analytic variable coding and file creation, research database design, and statistical programming.
We encourage researchers to consult with the BDP as early as possible and to work with a biostatistician when developing study designs and statistical analysis plans.
Pre-award support including statistical support for grant submissions, proposal development, study design, sample size and power analysis, and statistical analysis planning.
- Post-award support including statistical analysis, data management, data preparation, interim analysis, statistical support with manuscript preparation and review.
- Biostatistics Drop-In sessions are held once a week and are available to all OHSU investigators. These are free sessions and provide investigators access to informal biostatistics guidance in a timely and effective way. These sessions can fill quickly; please email us ahead of time to reserve your spot at email@example.com.