Biostatistics and Informatics Shared Resource

生物统计学和信息学共享资源（BISR）由Matthew S. Mayo博士，MBA， FASA领导，是堪萨斯大学癌症中心成员支持的关键和高度利用的共享资源。梅奥于1998年建立了这个共享资源，并于2002年获得了一项为期五年的140万美元的NCI R24共享资源拨款，用于非NCI指定的中心，以增强癌症中心的生物统计和信息基础设施。BISR有5个目标：1)为癌症中心项目的研究设计提供统计专业知识，2)提供信息学能力，以支持数据/方案管理，监测和培训，并辅以新的假设生成和队列识别工具，3)提供监测监督和执行适当的分析，4)参与研究报告和出版物的准备工作，5)教育癌症中心研究人员癌症研究的统计方面。直接支持癌症中心和每个项目的目标。来自CCSG的资金将增强BISR与癌症中心成员一起开发研究补助金和项目的能力。从2007年到2010年，BISR资助了129项拨款申请，其中24%已获得资助。BISR还维护一个集成的研究信息系统，该系统在保存试验特定数据的同一系统中为临床方案管理提供集中位置。这个综合系统为获取最新的协议信息提供了一个可通过网络访问的单一来源。研究特定的患者日历也可以在该系统内开发，以提高协议的依从性。BISR工作人员还为癌症相关试验的数据录入人员提供教育和培训服务；因此，该综合方案和数据管理系统提高了癌症中心临床试验的质量控制。在接下来的一年里，我们将增加机构的临床数据存储库，特别是通过允许研究人员确定试验可行性来推进癌症研究，通过结合肿瘤登记处的结果信息来表征生物标本和我们的癌症人群，并通过结合社会安全死亡指数来进行生存分析。

The Biostatistics and Informatics shared resource (BISR), led by Matthew S. Mayo, PhD, MBA, FASA, is a critical and highly utilized shared resource that supports members of The University of Kansas Cancer Center. Mayo established this shared resource in 1998 and in 2002 was awarded a five-year $1.4 million NCI R24 shared resource grant for non-NCI designated centers to enhance the biostatistics and informatics infrastructure for the cancer center. The BISR has 5 aims: 1) Provide Statistical Expertise in Study Design for Cancer Center Projects, 2) Provide Informatics Capabilities to Support Data/Protocol Management, Monitoring and Training Complemented with new Tools for Hypothesis Generation and Cohort Identification, 3) Provide Monitoring Oversight and Perform Appropriate Analyses, 4) Participate in the Preparation of Study Presentations and Publications, and 5) Educate Cancer Center Researchers on Statistical Aspects of Cancer Research, that directly support the aims of cancer center and each program. Funding from the CCSG will enhance the BISR's ability to develop research grants and projects with cancer center members. From 2007 through 2010 the BISR has aided in the development of 129 grant applications of which 24% have been funded. The BISR also maintains an integrated research information system, which provides a centralized location for clinical protocol management within the same system that houses trial-specific data. This comprehensive system provides a web-accessible, single-source for obtaining the most up-to-date protocol information. Study-specific patient calendars can also be developed within this system to enhance protocol adherence. BISR staff also provides the education and training services for data entry personnel on cancer-related trials; hence, this integrated protocol and data management system enhances the quality control of Cancer Center clinical trials. In the coming year, we will augment the institutions clinical data repository, specifically to advance cancer research by allowing investigators to determine trial feasibility, characterize biospecimens and our cancer population by incorporating outcomes information from the tumor registry, and conduct survival analysis by incorporating the social security death index.