Analytical Core

摘要 亚太裔美国人阿尔茨海默氏症和痴呆症研究资源中心（RCASIA） 其任务是：1）增加在AD/ADRD相关行为，社会和 通过指导和社区互动的创新模式进行生物医学研究; 2)通过通用数据元素，在较老的APA中提高AD/ADRD试点研究的严谨性和影响力 3）作为经过语言/文化测试和验证的工具的国家资源， 评估阿帕人群的认知、功能和AD/ADRD治疗。测量和分析核心 (AnC)- 由Stephen Crystal博士和Donald Hoover博士领导-将监督分析基础设施， RCASIA支持RCASIA科学家进行试点研究设计，分析和建模;引入严谨性和 通过基于语言/文化的框架，将再现性纳入试点措施;参与Pod 会议，以指导与计量有关的讨论;支持收集共同数据要素， 免费的基于网络的通用临床研究ID和数据共享;继续支持 中国老年人口研究（PINE）;并主持语言/文化知识库 测试/确认的仪器。AnC将以其在卫生服务研究方面的专业知识为基础， 主要数据分析，协调大型辅助数据集，并与专业分析 专家帮助RCASIA科学家完成他们的试点项目，并建立新的合作项目。两 目前基于中心的创新--将于2022财年完成--也将供科学家用途： 将医疗保险数据与美国社区调查联系起来， 健康与退休研究的调查基因组数据。最后，AnC将报告以下方面的可接受性： 通用数据元素和通用临床研究ID，以实现未来试点RCASIA的最终目标 研究注册为老年阿帕在纽约/新泽西州地区。

ABSTRACT The Resource Center for Alzheimer’s and Dementia Research in Asian and Pacific Americans (RCASIA) has missions of 1) increasing scientists underrepresented in AD/ADRD-related Behavioral, Social, and Economic Research biomedical research through innovative models of mentoring and community interaction; 2) advancing the rigor and impact of AD/ADRD pilot studies in older APAs through Common Data Elements and data-sharing; 3) serving as a national resource for linguistically/culturally tested and validated tools to assess cognition, function, and AD/ADRD care in APA populations. The Measurement and Analytical Core (AnC) – led by Stephen Crystal, PhD and Donald Hoover, PhD – will oversee the analytical infrastructure of RCASIA to support RCASIA Scientists in their pilot study design, analysis, and modeling; introduce rigor and reproducibility into pilot measures through a linguistically/culturally-grounded framework; participate in Pod meetings to guide measurement-related discussions; support the collection of Common Data Elements, the free web-based universal Clinical Research ID, and data-sharing; continue to support data requests for the Population Study of Chinese Elderly (PINE); and hosts the repository for linguistically/culturally tested/validated instruments. The AnC will built on its expertise in health services research, fit-for-purpose primary data analysis, harmonizing large secondary datasets, and partnerships with specialized analytical experts to help RCASIA Scientists complete their pilot projects and build new collaborative projects. Two current Center-based innovations – due to complete in FY 2022 – will also be available for Scientists’ use: probability-based APA subgroups from linking Medicare data with American Community Survey, and the linked survey-genomic data from Health and Retirement Study. Finally, the AnC will report on the acceptability of Common Data Elements and universal Clinical Research ID towards the eventual goal of a future pilot RCASIA Research Registry for older APA in the NYC/NJ area.