Core--Biostatistis and data management

达特茅斯SBRP的所有组成部分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使生物统计和数据管理中心能够充分利用达特茅斯的生物统计专门知识和数据管理资源，从而提高方案的互动性和科学质量。拟议的项目涉及使用一些复杂和新颖的复杂和新的生物分析方法的体外和整体动物实验方案(项目1-3，核心A)；以人群为基础的流行病学数据，以及个人暴露和遗传标记的复杂生物标记措施(项目4)；以及生态和地球化学调查中的多层次整群抽样(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。通过分享核心内统计人员、专门软件和计算资源的支持，实现规模经济。这样，在设计和分析其实验和研究的关键阶段，通常不能证明统计人员FTE线合理的项目仍然可以依靠专家统计资源。核心还将开发必要的强化统计方法，以研究低至中度砷暴露与癌症之间的关系，并将利用核心服务器(http://biostat.hitchcock.org/sbrp.htm).)上维护的独特的网络统计软件

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).