Biostatistics Core The Biostatistics Core personnel collaborate with Cancer Center investigators in the Basic Sciences, Clinical and Prevention/Control divisions on the development, design, analysis, interpretation and publication of cancer research projects. The Biostatistics Core is designed to provide both high level intellectual scientific input and service level support to cancer research projects. The specific objectives of the core are to: (i) collaborate with scientists in the formulation of research questions (ii) collaborate with clinical investigators on design of clinical research protocols (iii) collaborate on the design and development of new research initiatives and new grant proposals (iv) collaborate on statistical analysis and publication of data from cancer research projects (v) support the review, monitoring and oversight of clinical and prevention research protocols (vi) undertake methodological research leading to improved methods of design and analysis of specific cancer research data (vii) consult with investigators on appropriate statistical methods and data analysis tools and review abstracts and manuscripts for statistical issues (viii) Consult with investigators and data managers on efficient and accurate collection of protocol data (ix) Instruct scientists and clinical investigators in basic statistical methods The Biostatistics Core continues to grow and enhance the service it provides to all University of Michigan Comprehensive Cancer Center researchers. During each of the last 5 years Biostatistics Core personnel collaborated with, consulted with, or interacted with over 100 different UMCCC investigations from all programs on cancer research projects. Since the time of the last competing renewal Biostatistics Core personnel have co-authored 186 publications with UMCCC scientists.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA046592-21
Application #
7726840
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2008-06-01
Budget End
2009-05-31
Support Year
21
Fiscal Year
2008
Total Cost
$311,654
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Type
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Schofield, Heather K; Zeller, Jörg; Espinoza, Carlos et al. (2018) Mutant p53R270H drives altered metabolism and increased invasion in pancreatic ductal adenocarcinoma. JCI Insight 3:
Liu, Gang; Mukherjee, Bhramar; Lee, Seunggeun et al. (2018) Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence. Am J Epidemiol 187:366-377
Gleber-Netto, Frederico O; Zhao, Mei; Trivedi, Sanchit et al. (2018) Distinct pattern of TP53 mutations in human immunodeficiency virus-related head and neck squamous cell carcinoma. Cancer 124:84-94
Stoffel, Elena M; Koeppe, Erika; Everett, Jessica et al. (2018) Germline Genetic Features of Young Individuals With Colorectal Cancer. Gastroenterology 154:897-905.e1
Djuric, Zora; Bassis, Christine M; Plegue, Melissa A et al. (2018) Colonic Mucosal Bacteria Are Associated with Inter-Individual Variability in Serum Carotenoid Concentrations. J Acad Nutr Diet 118:606-616.e3
Mann, Jacqueline E; Smith, Joshua D; Birkeland, Andrew C et al. (2018) Analysis of tumor-infiltrating CD103 resident memory T-cell content in recurrent laryngeal squamous cell carcinoma. Cancer Immunol Immunother :
Jiagge, Evelyn; Jibril, Aisha Souleiman; Davis, Melissa et al. (2018) Androgen Receptor and ALDH1 Expression Among Internationally Diverse Patient Populations. J Glob Oncol :1-8
Bowers, Emily; Slaughter, Anastasiya; Frenette, Paul S et al. (2018) Granulocyte-derived TNF? promotes vascular and hematopoietic regeneration in the bone marrow. Nat Med 24:95-102
Holt, Melissa C; Assar, Zahra; Beheshti Zavareh, Reza et al. (2018) Biochemical Characterization and Structure-Based Mutational Analysis Provide Insight into the Binding and Mechanism of Action of Novel Aspartate Aminotransferase Inhibitors. Biochemistry 57:6604-6614
Wang, Yin; Day, Mark L; Simeone, Diane M et al. (2018) 3-D Cell Culture System for Studying Invasion and Evaluating Therapeutics in Bladder Cancer. J Vis Exp :

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