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Cancer Biostatistics Resource
http://med.stanford.edu/dcc/
http://med.stanford.edu/biostatistics/
Facility Director: Philip W. Lavori, PhD
Co-Director: Tze L. Lai, PhD
Contact
Philip Lavori, PhD
Director, Biostatistics Shared Resource
Redwood Building, T101E
Stanford, CA 94305-5405
Tel: 650-725-6109
Fax: 650-725-6951
Email: lavori@stanford.edu
Overview
The Biostatistics Facility provides statistical support to assist researchers at each stage of a study’s lifecycle, including project design, mid-study evaluation and the interpretation and reporting of results. The facility also assists with the statistical review of proposed studies and the planning of research-related data management systems. Biostatistics Core services are matched to the needs of each program, and cover a full range of services from collaboration and routine service support to innovative methods developed specifically to enhance the basic and translational research efforts of a discovery-oriented cancer center faculty. The core also collaborates with other specific cores, notably on informatics, tissue banking and project review.
Services
The Biostatistics Core provides essential intellectual and practical contributions to each of the programs in the Cancer Center. The key tasks requiring statistical input, identified by each program type, are:
Basic science programs
- Assist with design of experiments to ensure efficient use of animal resources and other materials
- Consult on statistical signal processing for high-volume/high-dimension data sources, such as imaging, microarrays and mass spectrometry
Clinical research programs
- Guide clinical trial design, involving specialized knowledge of statistics
- Interpret output of high-volume data sources in clinical research, using sophisticated methods of statistical learning, classification, regression and data mining
- Plan complex databases for ongoing registries of patients, as well as for new studies
- Advise on techniques at the interface of statistics and computer science, including privacy protection in an interconnected web-based environment
- Help integrate legacy systems with modern approaches
- Develop data management systems for remote collaborations
- Foster individualized and group educational opportunities to help clinical scientists optimize clinical trial design
- Evaluate the rival claims of advocates of traditional, Bayesian, adaptive, sequential and other technical approaches to design
- Explore the burgeoning field of Phase I and I/II designs, including new methods for dose-finding, as well as the challenges posed by "targeted" therapies that are not well served by the design paradigm developed for the cytotoxic chemotherapies
Population sciences
- Provide specialized expertise in statistical genetics and genomics, complex multi-level survey design, missing data methods, longitudinal design and analysis
- Evaluate and develop new methods for discovering and testing gene-environment interactions
Operation
All services are provided under the direction of the Division of Biostatistics, which is located on the main campus, and the Department of Health Research and Policy, which is located in the School of Medicine.
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