Cancer Data Science

The overarching goals of CDS are to provide assistance to Rogel Cancer Center investigators in all quantitative aspects of cancer research

Service Highlights

• No-cost initial consultation services
• Access to highly-trained specialists in biostatistics and bioinformatics with a broad range of research expertise
• Emphasis on long-term collaborations with Rogel Cancer Center members
• Dedicated faculty and staff effort on multiple Rogel Cancer Center member grants per year
• Faculty-led educational sessions and training workshops
• Collaborating with scientists in the formulation of research questions, statistical and bioinformatics methods, and analytical tools
• Collaborating with investigators on design of clinical research protocols and observational studies
• Collaborating on the design and development of new research initiatives and new grant proposals
• Collaborating on statistical and bioinformatics analysis and publication of data from cancer research projects
• Supporting the review, monitoring and oversight of clinical and prevention research protocols
• Undertaking methodological research leading to improved methods of design and analysis of specific cancer research data
• Consulting with investigators on appropriate statistical and bioinformatics methods and data analysis tools
• Provide statistical computing and advice with database issues
• Supporting investigators in searching electronic medical records for case finding and for planning and executing research
• Supporting the education and training initiatives of the Rogel Cancer Center
• Serving on Rogel Cancer Center administrative and research committees such as Protocol Review Committee, the Quality Assurance Committee, the Data Safety and Monitoring Board, the Clinical and Translational Research Allocation Committee and the Cancer Research Committee.

Analytical Expertise of Team Members

With comprehensive expertise in specific types of cancer and extensive experience in focused areas including biomarkers, personalized medicine, health disparities, quality of life and socio-physiological effects of treatment, our team of statistical and bioinformatics experts assist with the analysis of the following:

• Biomarker studies
• Clinical imaging technologies
• Clinical studies
• Epidemiological data
• Genomic data
• Health services
• In-vitro and in-vivo analysis
• Longitudinal data
• Missing data problems
• Outcomes and registry data
• Proteomic data
• Survival data
• Translational data