The Biostatistics Core will provide essential biostatistical support to Seattle Cancer Consortium Breast SPORE investigators. The Core links study design, data collection, measurements, and analysis to the critical hypotheses and questions studied by SPORE investigators whose research involves basic sciences, epidemiology, population studies, and clinical research. The Biostatistics Core will contribute to the SPORE mission through the following specific aims: 1. Study design: Define study hypotheses, study populations, and experimental measurements to answer research questions of interest, avoid systematic bias, and ensure a high likelihood of detection of biologically meaningful effects. 2. Analysis and interpretation: Identify and implement appropriate quantitative methods to address scientific questions of interest and provide valid statistical inferences about the evidence supporting the various study hypotheses. 3. Methodological development when needed: Modify existing approaches and develop novel study designs and methods to address problems arising from SPORE projects, where appropriate statistical methods are inadequate. SPORE biostatisticians have been closely involved with the projects in the SPORE. They will continue to collaborate as co-investigators on each project to ensure that studies are well designed and appropriately analyzed and interpreted. Moreover, the Core will provide consulting services to SPORE investigators for projects under the Research Developmental Program and the Career Development Program. The Core investigators have diverse and complementary expertise, and can conduct analyses using data from a wide variety of experimental technologies. For some of these technologies, analytic methods are still evolving. Core investigators are part of Consortium biostatistical research groups that are leaders in the areas of biomarker development, computational biology, and bioinformatics. In summary, the Core is well equipped to meet the diverse needs and address the translational aims of the Breast SPORE.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA138293-02
Application #
8330204
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2011-09-01
Budget End
2012-08-31
Support Year
2
Fiscal Year
2011
Total Cost
$116,792
Indirect Cost
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
078200995
City
Seattle
State
WA
Country
United States
Zip Code
98109
O'Sullivan, Finbarr; O'Sullivan, Janet N; Huang, Jian et al. (2018) Assessment of a statistical AIF extraction method for dynamic PET studies with 15O water and 18F fluorodeoxyglucose in locally advanced breast cancer patients. J Med Imaging (Bellingham) 5:011010
Sorace, Anna G; Partridge, Savannah C; Li, Xia et al. (2018) Distinguishing benign and malignant breast tumors: preliminary comparison of kinetic modeling approaches using multi-institutional dynamic contrast-enhanced MRI data from the International Breast MR Consortium 6883 trial. J Med Imaging (Bellingham) 5:011019
Amornsiripanitch, Nita; Nguyen, Vicky T; Rahbar, Habib et al. (2018) Diffusion-weighted MRI characteristics associated with prognostic pathological factors and recurrence risk in invasive ER+/HER2- breast cancers. J Magn Reson Imaging 48:226-236
Balakrishnan, Ashwini; Goodpaster, Tracy; Randolph-Habecker, Julie et al. (2017) Analysis of ROR1 Protein Expression in Human Cancer and Normal Tissues. Clin Cancer Res 23:3061-3071
Wangerin, Kristen A; Muzi, Mark; Peterson, Lanell M et al. (2017) A virtual clinical trial comparing static versus dynamic PET imaging in measuring response to breast cancer therapy. Phys Med Biol 62:3639-3655
Rahbar, Habib; McDonald, Elizabeth S; Lee, Janie M et al. (2016) How Can Advanced Imaging Be Used to Mitigate Potential Breast Cancer Overdiagnosis? Acad Radiol 23:768-73
Sommermeyer, D; Hudecek, M; Kosasih, P L et al. (2016) Chimeric antigen receptor-modified T cells derived from defined CD8+ and CD4+ subsets confer superior antitumor reactivity in vivo. Leukemia 30:492-500
Liu, Lingfeng; Sommermeyer, Daniel; Cabanov, Alexandra et al. (2016) Inclusion of Strep-tag II in design of antigen receptors for T-cell immunotherapy. Nat Biotechnol 34:430-4
Rahbar, Habib; Partridge, Savannah C (2016) Multiparametric MR Imaging of Breast Cancer. Magn Reson Imaging Clin N Am 24:223-238
Rahbar, Habib; Parsian, Sana; Lam, Diana L et al. (2016) Can MRI biomarkers at 3 T identify low-risk ductal carcinoma in situ? Clin Imaging 40:125-9

Showing the most recent 10 out of 54 publications