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

RC-3：生物统计学和数据管理核心 (BDMC)

• 批准号: 8878944
• 负责人: Jonathan Adam Letterman Gelfond
• 金额: $ 6.29万
• 依托单位: UNIVERSITY OF TEXAS HLTH SCIENCE CENTER
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8878944
• 关键词: Aging; American; Area; Biometry; Biostatistics Core; Capsicum; Chicago; Clinic; Clinical Trials; Collaborations; Collection; Communities; Complex; Data; Data Analyses; Data Collection; Data Quality; Data Set; Databases; Development; Education; Ensure; Experimental Designs; Faculty; Funding; Goals; Informatics; Information Services; Information Systems; Information Technology; Leadership; Linux; Manuscripts; Mentorship; Methods; Modeling; Monitor; Online Systems; Outcome; Phenotype; Pilot Projects; Preparation; Procedures; Process; Production; Productivity; Publications; Quality Control; Reporting; Research; Research Design; Research Infrastructure; Research Personnel; Research Project Grants; Resources; Retrospective Studies; Services; Statistical Methods; Survival Analysis; System; Training; Translational Research; abstracting; age related; base; cohort; comparative genomics; data acquisition; data exchange; data management; data sharing; experience; improved; innovation; multidisciplinary; novel; operation; programs; protocol development; success; tool development

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.

摘要 – 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)] 将提供： 1) 生物统计支持和专业知识； 2）集中研究信息服务 确保 OAIC 随时访问并提供卓越的数据质量。该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 开发并实施了不可用的服务 UTHSCSA 的其他地方。相反，它将利用与老龄化相关的生物统计和信息学专业知识 的核心团队。 RC3 提供了三项创新和增值功能。 （一）进一步提高生物统计水平 专门适用于衰老研究的支持，Gelfond 博士（核心领导者）将开发新的统计数据 与生存分析、潜在轨迹模型和比较基因组学相关的方法 OAIC 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优化分析所需的。所有这些方法都将具有更广泛的 在衰老研究中的应用(2) 核心支持创新信息学发展项目（DP3） 这将确定当地社区内非常适合针对老龄化的临床试验的人群 研究。此外，DP3 将提供对广泛且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) 核心将采用新颖的 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，例如出版物和资助的提案。 RC3 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；协议开发；创建新的分析方法； 研究结果的解释；报告、手稿和演示文稿的准备； 2）提供OAIC 项目和研究人员拥有最先进的研究信息学工具，用于开发试验队列 包括老龄化结果、去识别化数据以支持临床试验开发的试点数据以及用于 高效的临床试验数据收集和管理； 3）贡献专业知识、教学方法和实践培训 用于分析特定于老龄化研究的数据，以及 OAIC 学员的教育和指导；和 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 目标 1、2 和 3 的核心成果和影响力评估。