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 1)越来越多的科学家在AD/ADRD相关的行为、社会和 通过创新的辅导和社区互动模式进行生物医学研究； 2)通过共同数据元素推动AD/ADRD试点研究在较旧的APA中的严密性和影响 和数据共享；3)作为国家资源，提供经过语言/文化测试和验证的工具 评估APA人群的认知、功能和AD/ADRD护理。测量与分析的核心 (ANC)-由Stephen Crystal博士和Donald Hoover博士领导-将负责 RCASIA支持RCASIA科学家进行他们的试点研究设计、分析和建模；引入严谨和 通过以语言/文化为基础的框架将其重现为试点措施；参与Pod 指导与测量相关的讨论的会议；支持公共数据元素的收集， 基于Web的免费通用临床研究ID和数据共享；继续支持数据请求 中国老年人口研究(PINE)；主持语言/文化知识库 经过测试/验证的仪器。非国大将以其在卫生服务研究方面的专业知识为基础， 初级数据分析，协调大型次级数据集，并与专业分析机构合作 帮助RCASIA科学家完成他们的试验项目和建立新的合作项目的专家。二 目前基于中心的创新--将于2022财年完成--也将提供给科学家使用： 将医疗保险数据与美国社区调查相联系的基于概率的APA子组，以及相关联的 调查-来自健康和退休研究的基因组数据。最后，非国大将报告可接受性 面向未来试点RCASIA最终目标的通用数据元素和通用临床研究ID 纽约市/新泽西州地区的老年APA研究登记处。

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.