The use of appropriate biostatistical tools is an essential requirement for comprehensive study planning and correct interpretation of data. This resource will provide statistical expertise, guidance, and analyses to the JHU ICMIC investigators in designing their research studies and interpreting their data.
Our specific aims are: (i) To provide comprehensive biostatistics and bioinformatics consultation to all projects in the JHU ICMIC, assisting in design, collection, visualization, analysis, and interpretation of data arising in the course of research activities, (ii) To provide the infrastructural support for quality assurance, data storage and processing, and all informatics activities necessary to successfully perform Aim 1 successfully, (iii) To provide annual analyses of all compiled data to discover new associations that can stimulate new testable hypothesis. The Biostatistics Resource will be housed in the Division of Oncology Biostatistics at the Sidney Kimmel Comprehensive Cancer Center and the Department of Oncology. The resource members will have an integral role in the scientific development, study design, execution, and analysis of all research data. Resource investigators have extensive and complementary experiences in biostatistics and bioinformatics methodological development and their applications. Members of the Biostatistics Resource are committed to taking a direct interest in the substantive issues being investigated, to participating in regular project and program meetings, and to providing rigorous and innovative input on all quantitative matters arising in the projects. By contributing to multiple projects, this resource will also be in a position to promote interdisciplinary interactions among projects. This resource will provide the requisite infrastructure and act as a central resource for JHU ICMIC investigators to obtain expertise and assistance for biostatistical analyses. The resource director will provide leadership and oversight and will form part of the Oversight Committee that will meet at least on a monthly basis, and more frequently if necessary, with the JHU ICMIC Director to discuss and allocate use of the resource.
The Biostatistics Resource will provide a seamless integration of biostatistical expertise through all components of the JHU ICMIC. It will serve as a centralized resource to all JHU ICMIC investigators and promote synergy across different projects and resources. It will provide comprehensive biostatistics consultation and collaboration for all the research studies undertaken in the JHU ICMIC.
|Penet, Marie-France; Shah, Tariq; Bharti, Santosh et al. (2015) Metabolic imaging of pancreatic ductal adenocarcinoma detects altered choline metabolism. Clin Cancer Res 21:386-95|
|Ahn, Eun Hyun; Kim, Younghoon; Kshitiz et al. (2014) Spatial control of adult stem cell fate using nanotopographic cues. Biomaterials 35:2401-10|
|El Khouli, Riham H; Macura, Katarzyna J; Kamel, Ihab R et al. (2014) The effects of applying breast compression in dynamic contrast material-enhanced MR imaging. Radiology 272:79-90|
|Nimmagadda, Sridhar; Pullambhatla, Mrudula; Lisok, Ala et al. (2014) Imaging Axl expression in pancreatic and prostate cancer xenografts. Biochem Biophys Res Commun 443:635-40|
|Yadav, Nirbhay N; Xu, Jiadi; Bar-Shir, Amnon et al. (2014) Natural D-glucose as a biodegradable MRI relaxation agent. Magn Reson Med 72:823-8|
|Gadiya, Mayur; Mori, Noriko; Cao, Maria D et al. (2014) Phospholipase D1 and choline kinase-? are interactive targets in breast cancer. Cancer Biol Ther 15:593-601|
|Shamir, Eliah R; Pappalardo, Elisa; Jorgens, Danielle M et al. (2014) Twist1-induced dissemination preserves epithelial identity and requires E-cadherin. J Cell Biol 204:839-56|
|Huang, Peng; Ou, Ai-hua; Piantadosi, Steven et al. (2014) Formulating appropriate statistical hypotheses for treatment comparison in clinical trial design and analysis. Contemp Clin Trials 39:294-302|
|Subhawong, Ty K; Jacobs, Michael A; Fayad, Laura M (2014) Insights into quantitative diffusion-weighted MRI for musculoskeletal tumor imaging. AJR Am J Roentgenol 203:560-72|
|Zhu, Wenlian; Kato, Yoshinori; Artemov, Dmitri (2014) Water exchange-minimizing DCE-MRI protocol to detect changes in tumor vascular parameters: effect of bevacizumab/paclitaxel combination therapy. MAGMA 27:161-70|
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