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

摘要-资源核心（RC）3 生物统计学和数据管理核心[（BDMC，此后称为研究核心（RC）-3）]的目标 提供：1）生物统计支持和专业知识; 2）集中研究信息服务， 确保OAIC随时可以访问和获得上级数据质量。核心将大大促进数据共享， OAIC内部的综合分析。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，它将利用与老龄化有关的生物统计和信息学专业知识 核心团队。RC3提供了三个创新和增值功能。(1)进一步改进生物统计学 支持专门适用于老龄化研究，博士Gelfond（核心负责人）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有关的方法， 调查局调查员。Gelfond博士在指导和开发统计分析方面拥有丰富的经验， 以及与OAIC支持的主要教师的合作经验。这些新方法的动机是， 对开发和试点项目数据进行最佳分析所需的数据。所有这些方法将具有更广泛的 在老龄化研究中的应用(2)核心支持创新的信息学发展项目（DP3） 这将在当地社区中确定适合进行老龄化临床试验的人群， research.此外，DP3将提供对广泛和适当的表型去识别数据的访问 来自UTHSCSA附属诊所，可用于回顾性研究。(3)核心将利用小说 由核心领导者开发的协作模型，将促进高效运营并帮助跟踪 研究生产力成果，如出版物和资助的建议。 RC 3有四个可实现的具体目标：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;方案制定;创建新的分析方法; 研究结果的解释;和报告，手稿和演示文稿的准备; 2）提供OAIC 项目和研究者使用最先进的研究信息学工具开发试验队列 老龄化结局，去识别数据，以支持临床试验开发的试点数据，以及 有效的临床试验数据收集和管理; 3）贡献专业知识，教学法和实践培训 用于分析老龄化研究的特定数据，以及对OAIC学员的教育和指导;以及4） 确保核心的成功，不断评估核心的利用率和质量，评估研究标准， 目标1、2和3的核心成果和杠杆评估。

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.