Methodology and Analyses Support Core

方法论和分析支持核心

• 批准号: 10450106
• 负责人: BOOIL JO
• 金额: $ 4.94万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-30 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10450106
• 关键词: Aging; Area; Attention; Behavior Therapy; Behavioral Sciences; Bioinformatics; Biological Sciences; Biometry; Caring; Collaborations; Consult; Data; Data Analyses; Database Management Systems; Databases; Development; Education; Elderly; Ensure; Epidemiology; Exercise; Exposure to; Faculty; Funding; Future; Genetic; Goals; Healthcare Systems; Heterogeneity; Joints; Lead; Learning; Mediator of activation protein; Medicine; Mentors; Methodology; Methods; Monitor; Nature; Pilot Projects; Play; Postdoctoral Fellow; Psychiatry; Quality Control; Research; Research Design; Research Methodology; Research Personnel; Research Training; Safety; Scientist; Sister; Social Sciences; Source; Statistical Methods; Time; Training; Training and Education; Underrepresented Minority; Work; acceptability and feasibility; behavioral/social science; biomedical data science; comparative effectiveness; data acquisition; data management; digital health; education research; experience; health disparity; human subject; improved; intervention effect; meetings; mobile computing; neuroimaging; novel; precision medicine; predictive modeling; prognostic model; programs; recruit; secondary analysis; skills; social media; sound; statistics; treatment effect; virtual reality simulation

SUMMARY The overall goal of the Methodology and Analyses Support Core (MAnC) of the Stanford Aging and Ethnogeriatrics (SAGE) Transdisciplinary Collaborative Center is to provide biostatistical, epidemiological, and methodological mentoring and support, and to guide underrepresented minority junior investigators and pilot awardees (collectively called SAGE Scientists) in the conduct of trans-disciplinary, multi-level aging research integrating biological, social and behavioral sciences on emerging methodologies. The Methodology and Analyses Support Core will (a) review, monitor, and provide guidance and continuing biostatistical, bioinformatics and database support for all the SAGE Scientists, and (b) will closely collaborate with the SAGE Research Education Component and RCMAR Coordinating Center to provide continuing individualized consulting, training and education for SAGE Scientists in a timely and streamlined manner. The strength of our core lies in our experienced core investigators with complementary expertise/experience and exceptional devotion to mentoring and education of junior investigators. Along with mentoring and consulting, the MAnC will provide a more formal education through statistics and methods classes in the Psychiatry Department and other departments at Stanford. Further, we will actively identify and utilize high quality on-line courses at Stanford and beyond. The MAnC and the Research Education Component will work closely to direct SAGE Scientists to the appropriate courses, in particular those that best match the needs of their pilot projects. The MAnC will also assist the SAGE Scientists with safe and high quality database management for the pilot projects. As the SAGE Scientists are junior investigators, special care will be taken to ensure that regardless of the nature of pilot projects, they will be mentored to exercise great caution in handling the human subject data, which will also provide a crucial opportunity for them to train with and learn from experts in terms of proper management of human subject data. In addition to supporting SAGE Scientists, the MAnC will also actively develop cutting edge statistical and research methods with the common goal of advancing care of and research on older adults from diverse backgrounds. Taking advantage of the interdisciplinary forum that will be naturally formed under the proposed RCMAR program, the MAnC will lead and encourage project investigators to collaborate on various statistical and methodological research topics pertinent to ethnogeriatrics, such as biomedical data science approaches, bioinformatics, digital health, virtual reality and simulation study design, personalized (precision) medicine, health disparity, comparative effectiveness, behavioral intervention, effect heterogeneity, and joint utilization of multiple analytical traditions to effectively handle multitude of information. ! !

总结 斯坦福大学老龄与民族老年医学方法与分析支持核心（MAnC）的总体目标 （SAGE）跨学科合作中心是提供生物统计学，流行病学和方法 指导和支持，并指导代表性不足的少数民族初级调查员和试点获奖者（统称为 SAGE Scientists）在进行跨学科、多层次的老龄化研究， 行为科学的新兴方法论。方法和分析支助核心将（a）审查、监测、 并为所有SAGE科学家提供指导和持续的生物统计，生物信息学和数据库支持， (b)将与SAGE研究教育部门和RCMAR协调中心密切合作， 继续以及时和精简的方式为SAGE科学家提供个性化的咨询、培训和教育。的 我们的核心优势在于我们经验丰富的核心调查人员，他们具有互补的专业知识/经验和卓越的 致力于指导和教育初级调查员。沿着指导和咨询，MANC将 通过精神病学系和其他学科的统计学和方法课程提供更正规的教育 在斯坦福大学的各个系。此外，我们将积极识别和利用高质量的在线课程在斯坦福大学和超越。 MANC和研究教育部分将密切合作，指导SAGE科学家进行适当的研究。 培训课程，特别是最符合其试点项目需要的课程。MANC还将协助SAGE 为试点项目提供安全和高质量的数据库管理。由于SAGE科学家是初级 调查人员，将特别注意确保无论试点项目的性质如何，他们都将得到指导， 在处理人类受试者数据时要非常谨慎，这也将为他们提供一个重要的培训机会。 在人类受试者数据的适当管理方面与专家合作并向专家学习。除了支持SAGE 科学家，MANC还将积极开发尖端的统计和研究方法，共同目标是 促进对来自不同背景的老年人的护理和研究。利用跨学科论坛 在拟议的RCMAR计划下自然形成的项目中，MANC将领导和鼓励项目 研究人员在与民族老年医学有关的各种统计和方法学研究课题上进行合作，例如 生物医学数据科学方法，生物信息学，数字健康，虚拟现实和模拟研究设计， 个体化（精准）医疗，健康差异，比较有效性，行为干预，效果 异质性，以及联合利用多种分析传统来有效处理大量信息。 ! !