The Biostatistics Shared Resource (BSR) has been an integral component in the research endeavor of the UWCCC for over 30 years. Faculty members of the BSR are essential collaborative members in each of the six Scientific Programs. The mission of the BSR is to promote excellence in cancer research at UWCCC by providing crucial biostatistical support and expertise and by collaborating with UWCCC members in research ranging from laboratory, to clinical, to population science.
The Specific Aims of the BSR are 1) to continue high quality Biostatistics collaboration by valuing an interdisciplinary approach to science, by dedicating effort to collaboration with UWCCC members, and by building synergy between collaborative and methodological statistical research; and 2) to ensure cost-effective Biostatistics collaboration by matching BSR faculty and staff with disease areas, standardizing operations and data analysis tools, drawing on the wealth of faculty expertise, and refining management structure. To address these Aims, BSR staff contribute to UWCCC research design, development, data analysis, and communication of results. BSR staff facilitate the selection of adequate study subjects, assist in the identification of suitable study endpoints, provide sample size estimations or power analyses, conduct and provide interim monitoring for studies, analyze results for presentation of research findings at scientific meetings, and prepare final technical reports for scientific publication. Over 178 collaborative publications and 54 funded collaborative UWCCC member's grants during 2012-2016 not only attest to the value of the BSR, but also serve as documentation of the BSR's contribution to UWCCC research. Biomedical researchers at UW-Madison, and at other NCI designated cancer centers, have adopted this model of collaboration, instead of mere consultation. The BSR responds to the evolving needs and research capacity of the UWCCC by proactively adding and realigning biostatistics faculty members and masters-level statisticians/data analysts. Collaboration with UWCCC members generates new ideas for statistical methodology research and promotes statistical theory and methodology development. These new ideas are used to solve the original scientific questions, completing the full cycle of collaboration and scientific interaction. The BSR continues to serve as a model of very productive interaction at the UWCCC and remains a highly utilized and impactful resource with a considerable number of collaborative grants and publications. The BSR and its staff of highly trained biostatisticians who provide extensive collaborative and independent cancer research and education, are critical to the UWCCC's mission of lessening the burden of cancer in our catchment and beyond.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA014520-45
Application #
9706757
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
Project End
Budget Start
2019-04-01
Budget End
2020-03-31
Support Year
45
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of Wisconsin Madison
Department
Type
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
Voter, Andrew F; Killoran, Michael P; Ananiev, Gene E et al. (2018) A High-Throughput Screening Strategy to Identify Inhibitors of SSB Protein-Protein Interactions in an Academic Screening Facility. SLAS Discov 23:94-101
Thomas, Sydney P; Hoang, Trish T; Ressler, Valerie T et al. (2018) Human angiogenin is a potent cytotoxin in the absence of ribonuclease inhibitor. RNA 24:1018-1027
Barault, Ludovic; Amatu, Alessio; Siravegna, Giulia et al. (2018) Discovery of methylated circulating DNA biomarkers for comprehensive non-invasive monitoring of treatment response in metastatic colorectal cancer. Gut 67:1995-2005
Long, Yin; Wei, Hao; Li, Jun et al. (2018) Effective Wound Healing Enabled by Discrete Alternative Electric Fields from Wearable Nanogenerators. ACS Nano :
Forsberg, Matthew H; Das, Amritava; Saha, Krishanu et al. (2018) The potential of CAR T therapy for relapsed or refractory pediatric and young adult B-cell ALL. Ther Clin Risk Manag 14:1573-1584
Ni, Dalong; Jiang, Dawei; Ehlerding, Emily B et al. (2018) Radiolabeling Silica-Based Nanoparticles via Coordination Chemistry: Basic Principles, Strategies, and Applications. Acc Chem Res 51:778-788
Burnside, Elizabeth S; Vulkan, Daniel; Blanks, Roger G et al. (2018) Association between Screening Mammography Recall Rate and Interval Cancers in the UK Breast Cancer Service Screening Program: A Cohort Study. Radiology 288:47-54
Johnson, Brian P; Vitek, Ross A; Geiger, Peter G et al. (2018) Vital ex vivo tissue labeling and pathology-guided micropunching to characterize cellular heterogeneity in the tissue microenvironment. Biotechniques 64:13-19
Elezaby, Mai; Li, Geng; Bhargavan-Chatfield, Mythreyi et al. (2018) ACR BI-RADS Assessment Category 4 Subdivisions in Diagnostic Mammography: Utilization and Outcomes in the National Mammography Database. Radiology 287:416-422
Tanimura, Nobuyuki; Liao, Ruiqi; Wilson, Gary M et al. (2018) GATA/Heme Multi-omics Reveals a Trace Metal-Dependent Cellular Differentiation Mechanism. Dev Cell 46:581-594.e4

Showing the most recent 10 out of 1528 publications