Core D – Biostatistics Core

摘要：核心D 生物统计核心提供集中化和最先进的支持，以满足数据管理和 计划项目拨款的分析需求。核心人员拥有必要的统计专业知识，以 优化每个项目中概述的目标的数量需求。核心集中化促进了债券和 项目负责人和统计员之间的沟通，并促进调查人员与最 适当的量化合作者。此外，集中此资源理想地将核心定位为启动 并促进项目之间的跨学科互动，从而有助于加快双向 基础科学和翻译科学之间的交流。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的交叉受精可能产生的新假设。核心将是 由两名统计员弘力博士(核心领导)和肯特·阿梅森先生组成。核心生物统计学家被安置在 在南方医科大学霍林斯癌症中心的生物统计学共享资源中 卡罗莱纳大学(MUSC)是一群积极投入的生物统计学教员，他们在统计方面拥有广泛的技能 肿瘤学研究的方法。通过将关键核心人员安置在MUSC的PLC，所有项目都得到了保证 获得强大的工具包，以支持量化需求。所有项目都需要以下方面的支持：试验性 研究设计，包括能量分析和样本量论证；数据收集、存储和分析； 对复杂统计方法的产出进行解释；摘要和手稿准备。通过提供 研究专业知识和后勤支持，以满足每个项目的量化需求，生物统计S核心将 促进专业、高效和严格的程序，以生成、分析和解释 数据，这将是方案项目赠款成功的关键。

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.