Core C - Biostatistics and Data Mangement Core

核心C(生物统计学、生物信息学和数据管理) 摘要 核心C(生物统计、生物信息学和数据管理)在以下方面提供专家指导和协作 生物统计学、生物信息学和数据管理方面的设计、实施和分析 由这份P01提案产生的翻译研究项目。为了实现这些目标，具体的 核心C的目标包括：1)咨询项目调查人员以选择有效的研究设计和样本 足以满足研究目标的尺寸，2)与调查人员合作准备表格和图表， 执行高效和可靠的统计和生物信息学分析，起草项目的统计部分 手稿，并为后续研究提出和实施最佳设计和分析战略，以及3) 为临床试验、项目和核心的数据管理提供统计支持，并促进数据 分享。具体而言，在开始研究之前，核心工作人员将咨询项目调查人员 以帮助选择高效且动力充足的设计。对于拟议的临床试验，Core C将 协作利用现有的数据管理系统或在需要时建立新的系统，并设计案例 以明确的方式收集所有必需信息的报告表格(CRF)。随着研究的进行，工作人员 成员定期审查数据以评估对研究程序的遵守情况、数据质量和数据的充分性 潜在的统计假设。当研究完成后，工作人员再次审查数据，生成 信息丰富的汇总表和图形显示，进行正确和有效的统计和生物信息学 分析，并就后续研究的设计提供咨询。核心C的工作涉及与 所有研究项目的努力。核心C级工作人员具有支持癌症的丰富经验 研究，在基础科学、转化研究、临床试验、生物信息学、 研究计算和数据管理。凭借多年的生物医学研究经验，他们 随时准备确定和应用理想的方法，用于设计和分析以及数据管理 建议的研究性研究。核心C向本P01提案中的所有项目和核心提供服务。

Core C (Biostatistics, Bioinformatics, and Data Management) Abstract Core C (Biostatistics, Bioinformatics, and Data Management) provides expert guidance and collaboration in the biostatistical, bioinformatics, and data management aspects of the design, conduct and analysis of translational research projects generated by this P01 proposal. In order to achieve these goals, the specific aims of Core C include: 1) to consult with project investigators to select efficient study designs and sample sizes that are adequate to address study objectives, 2) to work with investigators to prepare tables and graphs, to execute efficient and robust statistical and bioinformatics analyses, to draft statistical sections of project manuscripts, and to propose and implement best design and analysis strategies for subsequent studies, and 3) to provide statistical support in data management for clinical trials, projects, and cores, and promote data sharing. Specifically, prior to the initiation of studies, Core staff members will consult with project investigators to help select designs that are efficient and adequately powered. For the proposed clinical trials, Core C will collaborate to utilize existing data management systems or establish new ones if required, and design case report forms (CRF) that collect all required information in an unambiguous way. As studies proceed, staff members review data periodically to evaluate adherence to study procedures, data quality, and adequacy of underlying statistical assumptions. When studies are finished, staff members review the data again, produce informative summary tables and graphical displays, conduct correct and efficient statistical and bioinformatics analyses, and consult on the design of subsequent studies. The work of Core C involves close integration with the efforts of all the research projects. Core C staff members have extensive experience supporting cancer research, with strong backgrounds in basic science, translational research, clinical trials, bioinformatics, research computing, and data management. With their many years of experience in biomedical research, they stand ready to identify and apply ideal methods for the design and analysis, and data management of the proposed research studies. Core C offers its services to all projects and cores in this P01 proposal.