Biostatistics Shared Service

项目总结（见说明）： 生物统计学共享服务（BSS）的目标是为马里兰州大学Mariene和Stewart Greenebaum癌症中心（UMCCC）的基础、翻译、临床和流行病学研究人员提供高质量的统计科学。共享服务的功能包括设计、审查和监控协议;统计分析、规划和报告;设计和分析 高维度数据，包括微阵列基因表达，单核苷酸多态性（SNP），表观遗传学，蛋白质组学;准备拨款申请和手稿;提供生物统计学培训和临床数据管理建议;和数据库计算。BSS还为UMCCC的研究人员提供先进的统计方法和在国家资助的其他赠款下开发的专业知识。 癌症研究所，如组合研究的设计和分析，微阵列和癌症流行病学数据的分析，以及SNP数据挖掘。这项共享服务中的统计学家与UMCCC所有五个癌症项目的研究人员合作：实验治疗学，激素反应性癌症，分子和结构生物学，肿瘤免疫学和免疫治疗，以及病毒肿瘤学。共享服务可以访问优秀的计算资源和统计软件包（例如，SAS、StatXact、Splus、Matlab、nQuery）、数据库管理软件（例如，访问，Oncore <$），和专门的统计软件所必需的高效和有效的支持UMCCC的计划。在2009年，BSS支持了63名研究人员的145个研究项目和60份赠款申请，共计9，454小时。近 52%的资金用于资助癌症项目。对于这项补助金，我们要求2.65全职等效（FTE）的生物统计学和生物信息学支持和0.5 FTE的行政和数据库援助，以提供生物统计学和统计生物信息学的支持，每个癌症计划在UMCCC。

PROJECT SUMMARY (See instructions): 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.