The Biostatistics and Design Program (BDP) is a University Shared Resource Core whose mission is to provide design and analytic support to investigators across OHSU. 

BDP staff and faculty members have experience in a wide range of content areas in the health sciences. We have expertise in the design of clinical trials, clinical and community-based intervention studies, laboratory experiments, and observational studies, and we work with investigators to select a study design that aligns well with their research questions. Our group also has expertise in a wide variety of both traditional and modern statistical methods, including:

• Clinical trial design and hypothesis testing
• Laboratory experimental design and analysis of covariance
• Regression analysis of observational and epidemiologic studies
• Sample size and power estimation
• Risk prediction modeling
• Complex survey and clustered-data analysis
• Time-to-event analysis
• Time-series forecasting and changepoint analysis
• Longitudinal and general multilevel modeling
• Structural equation modeling
• Bayesian modeling and hypothesis assessment
• High-dimensional data analysis and machine learning
• Statistical simulation

In addition to advising on study design and planning and implementing analyses, our services include data management and wrangling, analytic variable coding and dataset creation, research database design, data visualization, manuscript preparation, statistical programming, and much more. We frequently coordinate and collaborate with our colleagues in other units, including the Knight Biostatistics Shared Resource, and units within the Oregon Clinical and Translational Research Institute (OCTRI) such as the Research Navigator, Informatics, REDCap, and Evaluation. We have close ties with the OCTRI Biostatistics, Epidemiology, and Research Design (BERD) program.