Core D – Biostatistics Core

总结：核心D 生物统计核心提供集中和最先进的支持，以满足数据管理和 分析计划项目补助金的需求。核心人员具备必要的统计专业知识， 优化每个项目中概述的目标的数量要求。核心集中化促进了联系， 项目负责人和统计人员之间的沟通，并促进调查人员与最多的 合适的量化合作伙伴。此外，集中这种资源，可以使核心在理想情况下启动 并促进项目间的跨学科互动，从而有助于加速双向 基础科学与转化科学之间的交流。核心人员还可以帮助调查人员设计新的 研究和测试相关项目之间可能产生的新假设。芯会 由两名统计学家Hong Li博士（核心负责人）和肯特·阿梅森先生组成。核心生物统计学家 在南方医科大学霍林斯癌症中心（HCC）的生物统计学共享资源中 卡罗莱纳（MUSC），一个活跃而坚定的生物统计学教师群体，在统计学方面具有广泛的技能。 肿瘤学研究的方法。通过在MUSC的HCC中设置关键核心人员，所有项目都得到了保证 获得一个强大的工具包，以支持定量需求。所有项目都需要以下方面的支持： 研究设计，包括功效分析和样本量合理性说明;数据收集、存储和分析; 解释复杂统计方法的输出;和摘要和手稿的准备。通过提供 研究专业知识和后勤支持，以定量的需要，每个项目，生物统计的核心将 有助于专业，高效和严格的程序，以生成，分析和解释 数据，这将是至关重要的计划项目赠款的成功。

SUMMARY: CORE D The Biostatistics Core provides centralized and state-of-the-art support to meet the data management and analytic needs of the Program Project Grant. Core personnel have the necessary expertise in statistics to optimize the quantitative demands of the aims outlined in each project. Core centralization fosters bonds and communication between project leaders and statisticians, and facilitates matching of investigators with the most appropriate quantitative collaborators. In addition, centralizing this resource ideally positions the Core to initiate and promote interdisciplinary interactions among projects, and thus contributes to accelerating the bi -directional exchange between basic and translational science. Core personnel can also help investigators design new studies and test new hypotheses that may arise by cross-fertilization among related projects. The Core will be staffed by two statisticians, Dr. Hong Li (Core Leader) and Mr. Kent Armeson. Core biostatisticians are housed in the Biostatistics Shared Resource in the Hollings Cancer Center (HCC) at the Medical University of South Carolina (MUSC), an active and committed group of biostatistics faculty members broadly skilled in statistical methods in oncology research. By situating key Core personnel in MUSC’s HCC, all projects are guaranteed access to a robust tool kit to support quantitative needs. All Projects require support with respect to: experimental study design, including power analysis and sample size justification ; data collection, storage, and analysis; interpretation of output from complex statistical methods; and abstract and manuscript preparation. By providing research expertise and logistical support to the quantitative needs of each project, the Biostatistic s Core will contribute to professional, efficient and rigorous procedures for the generation, analysis and interpretation of data, which will be critical to the success of the Program Project Grant.