Core--Biostatistis and data management

核心--生物统计与数据管理

• 批准号: 6577239
• 负责人: TOR D TOSTESON
• 金额: $ 16.33万
• 依托单位: DARTMOUTH COLLEGE
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-04-01 至 2003-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6577239
• 关键词: biomedical facility; data management; environmental toxicology; hazardous substances; statistical service /center; statistics /biometry

All the component projects of the Dartmouth SBRP engage in statistical analysis and scientific data management. The overall objective of the proposed Biostatistics and Data Management Core is to enhance program interactivity and scientific quality by providing the SBRP full access to the biostatistical expertise and data management resources at Dartmouth. The proposed projects involve in vitro and whole animal experimental protocols utilizing a number of complex and novel complex and novel bioassays (Project 1-3, Core A); population-based epidemiologic data with sophisticated biomarker measures of individual exposure and genetic markers (Project 4); and multi-level clustered sampling in ecological and geochemical surveys (Projects 6 and 7). Sound statistical methodology and data management are essential for the successful conduct of these projects. Economics of scale are achieved by sharing the support of statistical personnel, specialized software, and computing resources within the Core. In this way, projects that would not be able ordinarily to justify FTE lines for statistical personnel can still count on expert statistical resources during critical phases of the design and analysis of their experiments and studies. The Core will also develop enhanced statistical methods necessary to study the relationship between low to moderate arsenic exposures and cancer based on the use of multiple biomarkers of exposure, and will make use of unique Web-based statistical software maintained on the Core server (http://biostat.hitchcock.org/sbrp.htm).

达特茅斯 SBRP 的所有组成项目都从事统计分析和科学数据管理。拟议的生物统计和数据管理核心的总体目标是通过为 SBRP 提供达特茅斯生物统计专业知识和数据管理资源的全面访问权限来增强计划交互性和科学质量。拟议的项目涉及利用许多复杂和新颖的生物测定法的体外和整体动物实验方案（项目1-3，核心A）；基于人群的流行病学数据，以及个人暴露和遗传标记的复杂生物标记测量（项目 4）；生态和地球化学调查中的多级整群抽样（项目6和7）。健全的统计方法和数据管理对于这些项目的成功实施至关重要。规模经济是通过共享核心内统计人员、专业软件和计算资源的支持来实现的。这样，那些通常无法证明统计人员 FTE 线合理性的项目仍然可以在实验和研究的设计和分析的关键阶段依赖专家统计资源。核心还将开发基于使用多种暴露生物标志物研究低至中度砷暴露与癌症之间关系所需的增强统计方法，并将利用核心服务器上维护的独特的基于网络的统计软件（http： //biostat.hitchcock.org/sbrp.htm)。