State the application's broad, long-term objectives and specific aims, making reference to the health relatedness of the project (i.e., relevance to the mission of the agency). Describe concisely the research design and methods for achieving these goals. Describe the rationale and techniques you vt/ill use to pursue these goals. In addition, in two or three sentences, describe in plain, lay language the relevance ofthis research to public health. If the application is funded, this description, as is, will become public information. Therefore, do not include proprietary/confidential infonnation. The Dana-Farber/Harvard Cancer Center (DF/HCC) Kidney Cancer SPORE Biostatistics Core provides design and analytic support to SPORE Projects, Developmental Projects, and other Cores.
The specific aims are to: 1. Provide biostatistical and computational biology expertise for the planning and design, conduct, analysis, and reporting of laboratory, genomic, animal, translational, clinical (including associated correlative studies), and epidemiological studies for SPORE Projects, Developmental Projects, and Cores. 2. Provide consultation on data collection, storage and quality assurance, statistics, and computational biology software and programs and to assist SPORE investigators to coordinate laboratory results with parameters and outcomes from clinical studies or clinical/translational research databases. 3. Provide short-term biostatistics and computational biology consulting to the entire group of SPORE investigators.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA101942-08
Application #
8322745
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2011-06-01
Budget End
2012-05-31
Support Year
8
Fiscal Year
2011
Total Cost
$178,514
Indirect Cost
Name
Beth Israel Deaconess Medical Center
Department
Type
DUNS #
071723621
City
Boston
State
MA
Country
United States
Zip Code
02215
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Signoretti, Sabina; Flaifel, Abdallah; Chen, Ying-Bei et al. (2018) Renal Cell Carcinoma in the Era of Precision Medicine: From Molecular Pathology to Tissue-Based Biomarkers. J Clin Oncol :JCO2018792259
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