The Biostatistics Core provides statistical support for cancer-related research at UCSF, focusing particularly on applications in clinical trials and population studies. The Computational Biology Core supports applications to genomics, genetics and molecular biology.
Core faculty have expertise in study design, protocol and proposal development and review, data analysis, and publication of results. Specific services provided are described below. Support for Cancer Center investigators participating in established Site Committees is typically handled by the faculty member assigned to that committee. Other requests can be directed to the consulting service request page (insert link obtained from CTSI) maintained by the UCSF Clinical & Translational Science Institute (CTSI). These requests will then be assigned to a Core faculty member.
Basic consulting services are generally provided free of charge to Cancer Center Members. Members requiring frequent assistance are encouraged to provide regular salary support to a Core statistician when possible to support more extensive requests and for long-term projects.
Assistance is provided in overall design considerations, sample size and analysis planning, and selection of appropriate controls and endpoints.
Services include help with questionnaire design, advice on variable definition and database structure, resolution of exception questions as they occur during ongoing studies, and data safety monitoring (through participation in the Cancer Center’s Data Monitoring Committee (provide link to this committee if available)).
Core statisticians conduct and/or supervise data analyses, design and write analysis plans for trial protocols, laboratory and observational studies, and also provide assistance with reporting of study results.
Core faculty participate in formal biostatistics classes offered through the Department of Epidemiology and Biostatistics (link: http://www.epibiostat.ucsf.edu/biostat/courses_index.html). In addition, they are available to give short presentations on a range of topics, including:
- Statistical issues in the design/conduct of clinical trials
- Sample size determination
- Interim analyses
- Multiple hypothesis testing
- The role of regression adjustment in analysis of data from clinical trials
- Binary regression methods for studies of LD50s
cores.ucsf.edu: A searchable database of core facilities at all UCSF campus locations, provided by CTSI.
This unit is supported by a National Cancer Institute Cancer Center Support Grant (5P30CA082103). Any publications related to work done by this core should reference grant number 5P30CA082103 and must include a PMCID as required by the NIH. For complete instructions on how to acknowledge funding sources, please see http://grants.nih.gov/grants/acknow.htm. For more information on how to obtain a PMCID, please see http://publicaccess.nih.gov/submit_process.htm.
For more information on the CCSG, please contact Erin Bank, PhD, at firstname.lastname@example.org.