BIOSTATISTICS SHARED RESOURCE (BSR) The Biostatistics Shared Resource (BSR) provides collaborative statistical support to Consortium members across each of the Research Programs. We emphasize the importance of establishing ongoing and continuing collaboration with biostatisticians as a means of maximizing scientific collaborations that lead to impactful cancer research. The BSR aids members with projects that do not have dedicated funding for biostatistical support. In addition, the BSR assists members across all Programs in the development of grant proposals. It is expected that such proposals will have biostatistical support built into the budget, in which case ? if a grant is awarded ? a funded collaboration with a biostatistician would subsequently take place outside the auspices of the BSR. In this sense, the BSR frequently spawns NIH-funded research. The BSR is composed of six faculty- level statisticians and three masters-level statisticians, and the CCSG currently funds roughly 1.1 FTE. The level of support for each biostatistician of the BSR ranges from 5-20%, as each biostatistician is primarily funded by research grants and contracts independent of their BSR activities. The CCSG-supported effort ensures that a stable staff of highly skilled biostatisticians is available to Consortium investigators. The members of the BSR have many years of experience working collaboratively with clinical, population, and laboratory scientists and possess a wide range of expertise in statistical methods that are relevant to the Consortium, including clinical trial design (Phase I through Phase III), survival analysis (including competing risks), longitudinal data, diagnostics testing, biomarkers, prediction models, microbiome, genomic, proteomic, metabolomic, high-dimensional data analysis, multi-omic and data-integration methods, analysis of nonlinear time series including modeling and inference with ordinary differential equations, cancer survivorship, inverse- probability weighting, statistical genetics, biological pathway analysis, mixed model and kernel methods, quantile regression, and causal inference.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA015704-45
Application #
9853656
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
Project End
Budget Start
2020-01-01
Budget End
2020-12-31
Support Year
45
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
078200995
City
Seattle
State
WA
Country
United States
Zip Code
98109
Zhao, Shanshan; Leonardson, Amy; Geybels, Milan S et al. (2018) A five-CpG DNA methylation score to predict metastatic-lethal outcomes in men treated with radical prostatectomy for localized prostate cancer. Prostate :
Greenbaum, Adam M; Green, Damian J; Holmberg, Leona A et al. (2018) Bendamustine, etoposide, and dexamethasone to mobilize peripheral blood hematopoietic stem cells for autologous transplantation in non-Hodgkin lymphoma. Blood Res 53:223-226
Giraldo, Nicolas A; Nguyen, Peter; Engle, Elizabeth L et al. (2018) Multidimensional, quantitative assessment of PD-1/PD-L1 expression in patients with Merkel cell carcinoma and association with response to pembrolizumab. J Immunother Cancer 6:99
DeWitt 3rd, William S; Smith, Anajane; Schoch, Gary et al. (2018) Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity. Elife 7:
Herman, Daniel S; Smith, Christina; Liu, Chang et al. (2018) Efficient Detection of Copy Number Mutations in PMS2 Exons with a Close Homolog. J Mol Diagn 20:512-521
Birnbaum, Jeanette K; Duggan, Catherine; Anderson, Benjamin O et al. (2018) Early detection and treatment strategies for breast cancer in low-income and upper middle-income countries: a modelling study. Lancet Glob Health 6:e885-e893
Partridge, Emma K; Neuhouser, Marian L; Breymeyer, Kara et al. (2018) Comparison of Nutrient Estimates Based on Food Volume versus Weight: Implications for Dietary Assessment Methods. Nutrients 10:
Jia, Deshui; Augert, Arnaud; Kim, Dong-Wook et al. (2018) Crebbp Loss Drives Small Cell Lung Cancer and Increases Sensitivity to HDAC Inhibition. Cancer Discov 8:1422-1437
Kuzma, Jessica N; Cromer, Gail; Hagman, Derek K et al. (2018) Consuming glucose-sweetened, not fructose-sweetened, beverages increases fasting insulin in healthy humans. Eur J Clin Nutr :
Neumeyer, Sonja; Banbury, Barbara L; Arndt, Volker et al. (2018) Mendelian randomisation study of age at menarche and age at menopause and the risk of colorectal cancer. Br J Cancer 118:1639-1647

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