The MobileToolbox for Monitoring Cognitive Function - Data and Statistical Analysis Core

用于监测认知功能的 MobileToolbox - 数据和统计分析核心

• 批准号: 10212851
• 负责人: David Michael Condon
• 金额: $ 17.82万
• 依托单位: NORTHWESTERN UNIVERSITY AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10212851
• 关键词: Age; Alzheimer' s Disease; Assessment tool; Calibration; Censuses; Clinical; Cognition; Computing Methodologies; Data; Data Aggregation; Data Analyses; Data Analytics; Data Files; Data Scientist; Data Security; Data Storage and Retrieval; Databases; Development; Disease; Education; Engineering; Ensure; Ethics; Ethnic Origin; FAIR principles; Funding; General Population; Genomics; Goals; Gold; HIV-associated neurocognitive disorder; Impaired cognition; Impairment; Information Systems; Infrastructure; International; Libraries; Maintenance; Measurement; Measures; Metadata; Monitor; Parkinson Disease; Participant; Patient Outcomes Assessments; Population; Population Distributions; Privacy; Procedures; Process; Property; Psychometrics; Race; Reproducibility; Research; Research Personnel; Residencies; Resources; Rural; Sampling; Science; Secure; Sensitivity and Specificity; Statistical Data Interpretation; Structure; Synapses; System; Technology; Testing; United States National Institutes of Health; Validation; Work; analytical method; base; biological sex; cloud based; cognitive ability; cognitive function; cognitive testing; computer science; data interoperability; data management; data privacy; data repository; data sharing; digital; experience; field study; human very old age (85+); longitudinal design; mHealth; mild cognitive impairment; novel

Data Core Summary The Data and Statistical Analysis Core (Data Core) will provide both the data management and analytic support needed to ensure the validity and reproducibility of MobileToolbox assessment tools. It will oversee the development, refinement and maintenance of the data management infrastructure needed to ensure data interoperability, data security and privacy (Aim 1). The data management infrastructure will include Sage Bionetworks’ existing Synapse platform. Synapse is a cloud-based data storage and organization system developed to facilitate sharing data, analysis and computational methods across distributed research teams. The Data Core will also serve as a central unit to direct, manage, and coordinate both psychometric and statistical analysis (Aim 2). The Data Core will manage and conduct the analyses needed for psychometric validation and norming of measures included in the MobileToolbox library. The Data Core will develop new normative values and conduct a multi-pronged validation analyses using several diverse samples. This work will be performed by the team of statisticians and psychometricians responsible for norming and validation of the NIH Toolbox, the Patient Reported Outcome Measurement Information System, and the International Cognitive Ability Resource. The Data Core will calibrate newly developed item banks and validate the MobileToolbox by conducting psychometric (item-level) and statistical (scale-level) analyses to determine psychometric properties, structural validity, construct validity, and longitudinal validity (both “burst” and traditional) of measures made available in the MobileToolbox Library. The Data Core will also conduct regression-based analyses in order to create normative values for MobileToolbox Cognition measures, including values corrected for relevant demographic variables such as age, education, race and ethnicity. Norms for change will also be created.

数据核心摘要 数据和统计分析核心（数据核心）将提供数据管理和分析 确保Mobilecommunication评估工具的有效性和可重复性所需的支持。它将监督 开发、完善和维护必要的数据管理基础设施， 互操作性、数据安全和隐私（目标1）。数据管理基础设施将包括Sage Bionetworks现有的Synapse平台。Synapse是基于云的数据存储和组织系统 开发的目的是促进分布式研究团队之间的数据共享、分析和计算方法。 数据核心还将作为一个中央单元，指导、管理和协调心理测量和 统计分析（目标2）。数据核心将管理和进行心理测量所需的分析， 验证和规范包含在移动数据库中的措施。数据核心将开发新的 标准值，并使用几个不同的样本进行多管齐下的验证分析。这项工作 将由统计学家和心理测量师团队负责规范和验证 美国国立卫生研究院，患者报告的结果测量信息系统，和国际 认知能力资源。数据核心将校准新开发的试题库，并验证 通过进行心理测量（项目级）和统计（量表级）分析， 心理测量学特性、结构效度、结构效度和纵向效度（包括“突发”和 传统）的措施，在移动图书馆提供。数据核心还将 基于回归的分析，以便为移动电话认知测量创建规范值， 包括针对相关人口统计变量（例如年龄、教育、种族和民族）校正的值。 还将建立变革的规范。