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 #
5P30CA077598-22
Application #
9859355
Study Section
Subcommittee H - Clinical Groups (NCI)
Project Start
Project End
Budget Start
2020-02-01
Budget End
2021-01-31
Support Year
22
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of Minnesota Twin Cities
Department
Type
DUNS #
555917996
City
Minneapolis
State
MN
Country
United States
Zip Code
55455
Nikodemova, Maria; Yee, Jeremiah; Carney, Patrick R et al. (2018) Transcriptional differences between smokers and non-smokers and variance by obesity as a risk factor for human sensitivity to environmental exposures. Environ Int 113:249-258
Xu, Bin; Magli, Alessandro; Anugrah, Yoska et al. (2018) Nanotopography-responsive myotube alignment and orientation as a sensitive phenotypic biomarker for Duchenne Muscular Dystrophy. Biomaterials 183:54-66
Lin, Lifeng; Chu, Haitao (2018) Bayesian multivariate meta-analysis of multiple factors. Res Synth Methods 9:261-272
Rashidi, Armin; Shanley, Ryan; Anasetti, Claudio et al. (2018) Analysis of BMT CTN-0201 and -0901 samples did not reproduce the reported association between recipient REG3A rs7588571 and chronic GVHD. Bone Marrow Transplant :
Kim, J-H; Frantz, A M; Sarver, A L et al. (2018) Modulation of fatty acid metabolism and immune suppression are features of in vitro tumour sphere formation in ontogenetically distinct dog cancers. Vet Comp Oncol 16:E176-E184
Mondragon-Gonzalez, Ricardo; Perlingeiro, Rita C R (2018) Recapitulating muscle disease phenotypes with myotonic dystrophy 1 induced pluripotent stem cells: a tool for disease modeling and drug discovery. Dis Model Mech 11:
Jin, Jin; Zhang, Lin; Leng, Ethan et al. (2018) Detection of prostate cancer with multiparametric MRI utilizing the anatomic structure of the prostate. Stat Med 37:3214-3229
Pierpont, Elizabeth I; Hudock, Rebekah L; Foy, Allison M et al. (2018) Social skills in children with RASopathies: a comparison of Noonan syndrome and neurofibromatosis type 1. J Neurodev Disord 10:21
Carlson, Erik S; Upadhyaya, Pramod; Villalta, Peter W et al. (2018) Analysis and Identification of 2'-Deoxyadenosine-Derived Adducts in Lung and Liver DNA of F-344 Rats Treated with the Tobacco-Specific Carcinogen 4-(Methylnitrosamino)-1-(3-pyridyl)-1-butanone and Enantiomers of its Metabolite 4-(Methylnitrosamino)-1-(3-p Chem Res Toxicol 31:358-370
Lin, Lifeng; Chu, Haitao; Murad, Mohammad Hassan et al. (2018) Empirical Comparison of Publication Bias Tests in Meta-Analysis. J Gen Intern Med 33:1260-1267

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