RC-3: Biostatistics and Data Management Core (BDMC)

抽象-资源核心(RC)3 生物统计和数据管理核心的目标[(BDMC，以下称为研究核心(RC)-3)] 提供：1)生物统计支持和专门知识；2)集中研究信息服务，以 确保随时接入OAIC并提供卓越的数据质量。核心将极大地促进数据共享和 OAIC内的综合分析。重要的是，RC3开发和实现了不可用的服务 在UTHSCSA的其他地方。相反，它将利用与老龄化相关的生物统计学和信息学专业知识 核心团队的成员。RC3提供了三个创新和增值功能。(一)进一步完善生物统计工作 专门适用于老龄化研究的支持，Gelfond博士(核心领导)将开发新的统计 与生存分析、潜在轨迹模型和比较基因组学相关的方法 伊斯兰会议组织的调查人员。Gelfond博士在指导和开发统计分析方面拥有丰富的经验，如 以及与OAIC支持的关键教师的协作经验。这些新方法的动机是和 对开发和试点项目数据进行优化分析所需的。所有这些方法都将有更广泛的 在衰老研究中的应用。(2)核心支持创新信息学发展项目(DP3) 这将确定当地社区中可以非常适合于以衰老为重点的临床试验的队列 研究。此外，DP3将提供对广泛和适当的表型去识别数据的访问 从UTHSCSA附属诊所获得，将用于回顾性研究。(3)核心将利用小说 由核心领导开发的协作模式，将促进高效运营并帮助跟踪 研究生产力成果，如出版物和资助的提案。 RC3有四个可以实现的具体目标：1)为OAIC提供所有生物统计支持和专业知识， 包括研究设计和规划；制定方案；创建新的分析方法； 解释研究结果；准备报告、手稿和演示文稿；2)提供OAIC 拥有最先进的研究信息学工具的项目和调查人员，用于开发试验队列 使用老化结果、未识别的数据来支持临床试验开发的试点数据，以及 高效的临床试验数据收集和管理；3)提供专业知识、教学方法和实践培训 用于分析老龄化研究的具体数据，以及对OAIC受训人员的教育和指导；以及4) 确保核心的成功，持续评估核心的利用率和质量，评估研究标准和 核心成果，以及目标1、2和3的杠杆评估。

ABSTRACT – RESOURCE CORE (RC) 3 The goals of the Biostatistics and Data Management Core [(BDMC, henceforth termed Research Core (RC)-3)] are to provide: 1) biostatistical support and expertise; and 2) centralized research information services to ensure ready access and superior data quality to the OAIC. The Core will greatly facilitate data sharing and integrated analyses within the OAIC. Importantly, RC3 develops and implements services not available elsewhere at UTHSCSA. Instead, it will capitalize on the aging-related biostatistical and informatics expertise of the Core team. RC3 provides three innovative and value-added features. (1) To further improve biostatistics support specifically applicable for aging research, Dr. Gelfond (Core Leader) will develop new statistical methods related to survival analysis, latent trajectory models, and comparative genomics in collaboration with OAIC investigators. Dr. Gelfond has substantial experience in directing and developing statistical analyses as well as collaborative experience with key OAIC supported faculty. These new methods are motivated by and required for optimal analyses of the developmental and pilot project data. All these methods will have broader applications in aging research. (2) The Core supports an innovative informatics Developmental Project (DP3) that will identify cohorts within the local community that can be well-suited for clinical trials focused on aging research. Additionally, DP3 will provide access to extensively and appropriately phenotyped de-identified data from UTHSCSA-affiliated clinics that will be available for retrospective studies. (3) The Core will utilize novel collaborative models, developed by the Core Leader, which will promote efficient operations and help track research productivity outcomes, such as publications and funded proposals. The RC3 has four achievable Specific Aims: 1) Provide all biostatistical support and expertise for the OAIC, including study design and planning; protocol development; creation of new analytical approaches; interpretation of study results; and preparation of reports, manuscripts, and presentations; 2) Provide OAIC projects and investigators with state-of-the-art research informatics tools for development of cohorts for trials with aging outcomes, de-identified data to support pilot data for clinical trials development, and tools for efficient clinical trial data collection and management; 3) Contribute expertise, didactics, and hands-on training for analyses of data specific to aging research, as well as education and mentorship of OAIC trainees; and 4) Ensure the success of the Core, continually assess Core utilization and quality, assess research standards and Core outcomes, and leverage assessments for Aims 1, 2, and 3.