The mission of the Biostatistics Shared Resource is to provide state-of-the-art services in the planning, conduct, analysis, and reporting of cancer-related clinical studies and clinical trials. These include prognostic, predictive, and surrogate marker studies; population-based prevention studies; somatic and germline genetic studies; and animal and laboratory experiments in both new therapies and the basic biology of cancers. The Shared Resource ensures that all experimental designs, study monitoring, and data analyses take advantage of robust and efficient methods that reflect best practices in biostatistics. The Biostatistics Shared Resource provides consultation on all cancer-related clinical protocols and supports Masonic Cancer Center (MCC) members in preparing grant applications. Members of the Biostatistics Shared Resource also support activities of the Clinical Trial Office, play key roles on the Cancer Protocol Review Committee and within the Data and Safety Monitoring Committee, and provide biostatistics education to MCC members and their trainees (oncology medical and surgical fellows, medical residents, and graduate students). We are proactive in all stages of study design and data analysis. We serve MCC members of all research Programs in all 3 areas: Basic Sciences, Population Sciences, and Clinical Sciences. When the need arises, members of the Biostatistics Shared Resource become part of a research team to provide comprehensive and integrated support. These services are essential to the mission of the MCC because proper statistical design and analysis are critical to the conduct of rigorous and reproducible studies, and our services ensure that studies within the MCC are properly designed and optimized to obtain meaningful results. In addition, we have stable leadership and membership, excellent organization, and smooth coordination. Service quality has been the major focus and the major strength of this Shared Resource over many years and through several CCSG cycles. The Biostatistics Shared Resource is led by Dr. Chap T. Le with support from 6 faculty, one of which was recruited in the previous period, and 6 master's-level research fellows and senior research fellows. In the previous period, the Bioinformatics component has left the Biostatistics Shared Resource and merged with the clinical informatics group to form the Cancer Informatics Shared Resource; as a result, our name has changed from ?Biostatistics and Bioinformatics? to ?Biostatistics?.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA077598-23
Application #
10086433
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
1998-06-01
Project End
2024-01-31
Budget Start
2021-02-01
Budget End
2022-01-31
Support Year
23
Fiscal Year
2021
Total Cost
Indirect Cost
Name
University of Minnesota Twin Cities
Department
Type
DUNS #
555917996
City
Minneapolis
State
MN
Country
United States
Zip Code
55455
How, Joan; Vij, Kiran R; Ebadi, Maryam et al. (2018) Prognostic value of prior consolidation in acute myeloid leukemia patients undergoing hematopoietic cell transplantation in minimal residual disease-negative first complete remission. Am J Hematol 93:E381-E383
Ustun, C; Brunstein, C; DeFor, T et al. (2018) Importance of conditioning regimen intensity, MRD positivity, and KIR ligand mismatch in UCB transplantation. Bone Marrow Transplant 53:97-100
Williams, Shelly M; Sumstad, Darin; Kadidlo, Diane et al. (2018) Clinical-scale production of cGMP compliant CD3/CD19 cell-depleted NK cells in the evolution of NK cell immunotherapy at a single institution. Transfusion 58:1458-1467
Kaizer, Alexander M; Hobbs, Brian P; Koopmeiners, Joseph S (2018) A multi-source adaptive platform design for testing sequential combinatorial therapeutic strategies. Biometrics 74:1082-1094
Sperduto, Paul W; Deegan, Brian J; Li, Jing et al. (2018) Estimating survival for renal cell carcinoma patients with brain metastases: an update of the Renal Graded Prognostic Assessment tool. Neuro Oncol 20:1652-1660
Li, Danni; Huang, Fangying; Zhao, Yingchun et al. (2018) Plasma lipoproteome in Alzheimer's disease: a proof-of-concept study. Clin Proteomics 15:31
Hwa Yun, Byeong; Guo, Jingshu; Bellamri, Medjda et al. (2018) DNA adducts: Formation, biological effects, and new biospecimens for mass spectrometric measurements in humans. Mass Spectrom Rev :
Yun, Byeong Hwa; Bellamri, Medjda; Rosenquist, Thomas A et al. (2018) Method for Biomonitoring DNA Adducts in Exfoliated Urinary Cells by Mass Spectrometry. Anal Chem 90:9943-9950
Rashidi, Armin; Shanley, Ryan; Yohe, Sophia L et al. (2018) Association between recipient TNF rs361525 and acute GVHD: results from analysis of BMT CTN-0201 samples. Bone Marrow Transplant 53:1069-1071
Owen, David L; Mahmud, Shawn A; Vang, Kieng B et al. (2018) Identification of Cellular Sources of IL-2 Needed for Regulatory T Cell Development and Homeostasis. J Immunol 200:3926-3933

Showing the most recent 10 out of 1013 publications