The goal of the Biostatistics Shared Sen/ice (BSS) is to provide basic, translational, clinical, and epidemiology investigators at the University of Maryland Mariene and Stewart Greenebaum Cancer Center (UMGCC) with access to quality statistical science. Functions ofthe shared service include designing, reviewing, and monitoring protocols;statistical analysis, planning, and reporting;designing and analyzing high dimensional data, including microarray gene expression, single nucleotide polymorphisms (SNPs), epigenetics, proteomics;preparing grant applications and manuscripts;providing biostatistics training and advice on clinical data management;and database computing. BSS also provides investigators at UMGCC with advanced statistical methods and expertise developed under other grants funded by the National Cancer Institute, such as design and analysis of combination studies, analysis of microarray and cancer epidemiology data, and SNP data mining. Statisticians in this shared service collaborate with investigators in all five cancer programs at UMGCC: Experimental Therapeutics, Hormone Responsive Cancers, Molecular and Structural Biology, Tumor Immunology and Immunotherapy, and Viral Oncology. The shared service has access to excellent computing resources and statistical software packages (e.g., SAS, StatXact, Splus, Matlab, nQuery), database management software (e.g.. Access, Oncore?), and specialized statistical software necessary for efficient and effective support of UMGCC's programs. In calendar year 2009, BSS supported 145 research projects from 63 investigators and 60 grant applications, totaling 9,454 hours. Nearly 52 percent of total effort was spent on funded cancer projects. For this grant, we request 2.65 full-time equivalent (FTE) of biostatistics and bioinformatics support and 0.5 FTE of administrative and databaseassistance to provide biostatistics and statistical bioinformatics support to each cancer program at UMGCC.
; The Biostatistics Shared Service provides the critically needed study design, power analysis, data management, statistical/bioinformatics analysis and manuscript preparation support for all UMGCC programs.
|Wang, Junxiang; Zhao, Liang; Ye, Yanfang et al. (2018) Adverse event detection by integrating twitter data and VAERS. J Biomed Semantics 9:19|
|Furusawa, Aki; Reiser, John; Sadashivaiah, Kavitha et al. (2018) Eomesodermin Increases Survival and IL-2 Responsiveness of Tumor-specific CD8+ T Cells in an Adoptive Transfer Model of Cancer Immunotherapy. J Immunother 41:53-63|
|Nathenson, Michael J; Conley, Anthony P; Sausville, Edward (2018) Immunotherapy: A New (and Old) Approach to Treatment of Soft Tissue and Bone Sarcomas. Oncologist 23:71-83|
|Wang, Lei; Felts, Sara J; Van Keulen, Virginia P et al. (2018) Exploring the effect of library preparation on RNA sequencing experiments. Genomics :|
|Nathenson, Michael J; Barysauskas, Constance M; Nathenson, Robert A et al. (2018) Surgical resection for recurrent retroperitoneal leiomyosarcoma and liposarcoma. World J Surg Oncol 16:203|
|Sallmyr, Annahita; Tomkinson, Alan E (2018) Repair of DNA double-strand breaks by mammalian alternative end-joining pathways. J Biol Chem 293:10536-10546|
|Kerr, Candace; Adhikary, Gautam; Grun, Daniel et al. (2018) Combination cisplatin and sulforaphane treatment reduces proliferation, invasion, and tumor formation in epidermal squamous cell carcinoma. Mol Carcinog 57:3-11|
|Connolly, Sean; Quasi-Woode, Devona; Waldron, Laura et al. (2018) Calcineurin Regulatory Subunit Calcium-Binding Domains Differentially Contribute to Calcineurin Signaling in Saccharomyces cerevisiae. Genetics 209:801-813|
|Pauza, C David; Liou, Mei-Ling; Lahusen, Tyler et al. (2018) Gamma Delta T Cell Therapy for Cancer: It Is Good to be Local. Front Immunol 9:1305|
|Wang, Lei; Felts, Sara J; Van Keulen, Virginia P et al. (2018) Integrative Genome-Wide Analysis of Long Noncoding RNAs in Diverse Immune Cell Types of Melanoma Patients. Cancer Res 78:4411-4423|
Showing the most recent 10 out of 257 publications