Data Management and Statistical Analysis Core (Core C)

摘要 对精神错乱及其与痴呆症和阿尔茨海默病的关系的研究，呈现出不同的定量 挑战，包括参与者自然减员的风险增加，以及由于以下因素的影响而造成的关联混乱 外科手术和多发病。数据管理和统计分析(DMSA)核心(核心C) 为应对这些挑战而开发的。DMSA核心的总体目标是提供数据管理 以及生物统计资源和专门知识，促进本方案内的最佳统计和科学做法 项目。DMSA活动旨在实现三个相辅相成的具体目标：(1)发展 数据采集和元数据管理的基础设施；(2)开发和维护安全数据 管理基础设施；以及(3)提供全面的统计和数据管理支持， 包括新方法的开发，用于五个项目中的每一个。DMSA的领导层拥有大量的 在观察性研究、实验设计、纵向多变量分析、生物标志物分析、 规模开发、机器学习和丢失数据，并在数据科学的领导方面经验丰富 团队。其技术熟练的员工在获取和管理高质量数据方面经验丰富， 最初开发的非常成功的数据捕获和完整性计划说明了这一点 资金周期。核心教员与智者保持积极和高效的协作关系 调查人员。此外，DMSA还为ITS的协作、监督和同行支持提供了关键场所 教职员工；维护效率和生产力；保证数据和数据的质量控制 分析问题。DMSA在其运营中嵌入了持续的创新；这种创新的例子 包括认知和身体功能的新量表开发；扩展的匹配算法 案例/控制设计，以及开发新的、集成的网络数据管理和 分析工具，提高科学发现的再现性。DMSA将为 对这里提出的五个项目进行高效率和成本效益的信息管理和数据分析； 这一雄心勃勃的努力的可行性体现在我们在最初的筹资周期中取得的成功和我们的良好- 开发了研究业务模型。这项计划项目具有推动科学发展的巨大潜力 最终导致针对其发病率和后遗症的干预措施的发展。 归根结底，这个项目拥有巨大的潜力来促进我们对精神错乱的理解，并 制定更有效的预防和治疗精神错乱及相关疾病的战略，并 并发症。DMSA将在其成功中发挥关键作用。

ABSTRACT The study of delirium, and its relationship to dementia and Alzheimer's Disease, presents distinct quantitative challenges, including elevated risk of participant attrition and confounding of associations via the influences of surgery and multimorbidity. The Data Management and Statistical Analysis (DMSA) Core (Core C) has been developed to address these challenges. The overall goal of the DMSA Core is to provide data management and biostatistical resources and expertise promoting best statistical and scientific practices within this Program Project. DMSA activities are directed toward the three mutually reinforcing Specific Aims: (1) to develop infrastructure for data capture and metadata management; (2) to develop and maintain secure data management infrastructure; and (3) to provide comprehensive statistical and data management support, including novel methods development, to each of the five projects. The DMSA's leadership has substantial expertise in observational studies, experimental design, longitudinal multivariate analysis, biomarker analysis, scale development, machine learning, and missing data, and is seasoned in the leadership of data science teams. Its skilled staff are substantially experienced in the acquisition and management of high quality data, as illustrated by the extremely successful data capture and completeness initiatives developed in the initial funding cycle. Core faculty maintain active and highly productive collaborative relationships with the SAGES investigators. Additionally, the DMSA provides key venues for collaboration, supervision and peer support of its faculty and personnel; maintenance of efficiency and productivity; and surety of quality control around data and analytic issues. The DMSA has embedded continuous innovation in its operations; examples of this innovation include novel scale development for cognitive and physical function; extended matching algorithms in case/control design, and the development of novel and integrated web-enabled data management and analysis tools, which enhance the reproducibility of scientific findings. The DMSA will provide the venue for efficient and cost effective information management and data analysis of the five projects proposed here; the feasibility of this ambitious effort is demonstrated by our success in the initial funding cycle and our well- developed research operations model. This Program Project has tremendous potential to advance the science of delirium, leading ultimately to the development of interventions targeting its incidence and sequelae. Ultimately, this Program Project holds tremendous potential to advance our understanding of delirium, and to develop more effective strategies for prevention and treatment of delirium and associated conditions and complications. The DMSA will play a critical role in its success.