Quantitative Analytics and Data Management

RCB项目总结 拟议的计划项目，在痴呆症中部署高价值纵向人群数据 研究(发展AD研究)，将利用两项全国性的、纵向的、以人群为基础的研究 健康与退休研究(HRS)和国家健康与老龄化趋势研究(NHATS)，两者都 链接到医疗保险和医疗补助服务中心(CMS)的索赔和评估文件，以扩展我们的 了解痴呆症的纵向病程以及医学、社会和精神疾病之间的复杂相互作用 卫生系统因素。研究核心B(RCB)-定量分析和数据管理将支持 P01及其五个研究项目的目标通过四个具体目标：1)巩固HRS、NHATS、 并将CMS数据库管理活动联系起来，以促进整个P01的科学严谨性和效率； 2)建立流程和基础设施，包括工作人员和调查人员，以最大限度地提高效率和 协同应用我们的知识和资源；3)提供最先进的定量分析 支持研究项目；4)建立和传播可公开获得的网上技术图书馆 促进老年姑息治疗和痴呆症研究的辅助材料。由来自中国的科学家组成 加州大学旧金山分校和西奈山伊坎医学院，核心创造了一个 由临床医生科学家、卫生服务研究人员、经济学家、 流行病学家和生物统计学家，在新的和复杂的编程、分析工具和 有效使用HRS和NHATS数据集检查综合体所需的统计方法 从痴呆症诊断到死亡的整个疾病过程中出现的问题，并提供相关答案 痴呆症护理中的临床和政策问题。RCB是通过以下方式实现协同效应和效率 将实现量化分析专业知识和数据库管理，以便成功完成 每个研究项目中的拟议工作。RCB领导人博斯卡丁博士和凯利博士拥有专业知识和 通过与研究项目调查人员积极合作来实现RCB目标的经验， 顾问和分析人员--他们在管理和分析联邦医疗保险方面都有丰富的专业知识 链接HRS和NHATS数据。RCB将通过集中管理来整合数据库管理活动 行政和监管职能；创建和编目一套供所有人使用的统一变量 研究项目，合并和清理各个研究项目所需的数据集，包括创建 用于分析的纵向分层数据集，并执行所有相关文档。

RCB PROJECT SUMMARY The proposed program project, Deploying High Value Longitudinal Population-Based data in Dementia Research (DEVELOP AD RESEARCH), will leverage two national, longitudinal, population-based studies, the Health and Retirement Study (HRS) and the National Health and Aging Trends Study (NHATS), both of which are linked to Centers for Medicare and Medicaid Services (CMS) claims and assessment files, to expand our understanding of the longitudinal course of dementia and the complex interactions of medical, social, and health system factors. Research Core B (RCB) – Quantitative Analytics and Data Management will support the goals of the P01 and its five research projects through four specific aims: 1) To consolidate HRS, NHATS, and linked CMS database management activities to promote scientific rigor and efficiency throughout the P01; 2) To build the processes and infrastructure, including staff and investigators, to maximize efficient and synergistic application of our knowledge and resources; 3) To provide state-of-the-art quantitative analytic support for research projects; 4) To create and disseminate a library of publicly available web-based technical assistance material to advance geriatric palliative care and dementia research. Comprised of scientists from the University of California San Francisco and the Icahn School of Medicine at Mount Sinai, the core creates a transdisciplinary research team of clinician scientists, health services researchers, economists, epidemiologists, and biostatisticians with expertise in the novel and complex programming, analytic tools, and statistical methods that are required to effectively use the HRS and NHATS datasets to examine the complex issues that arise across the disease course from dementia diagnosis to death and provide answers to relevant clinical and policy questions in dementia care. RCB is the means through which synergies and efficiencies in quantitative analytic expertise and database management will be achieved in order to successfully complete the proposed work in each research project. RCB leaders, Drs. Boscardin and Kelley, have the expertise and experience to accomplish the RCB’s aims through active collaboration with research project investigators, consultants and analytic staff - all of whom have extensive expertise in managing and analyzing Medicare linked HRS and NHATS data. RCB will consolidate database management activities by centralizing administrative and regulatory functions; creating and cataloging a unified set of variables to be used by all research projects, merging and cleaning datasets needed for the individual research projects including creating longitudinal hierarchical datasets for analyses, and performing all associated documentation.