Analytic Core (Core D)

分析核心（核心 D）

• 批准号: 10541805
• 负责人: Deborah L. BLACKER
• 金额: $ 28.79万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-15 至 2025-12-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10541805
• 关键词: Address; Alzheimer' s Disease; Amyloid; Biological Markers; Biometry; Brain; Brain Pathology; Clinical; Clinical Data; Clinical Trials; Clinical Trials Design; Cognitive; Communities; Complex; Consultations; Custom; Data; Data Adjustments; Data Analyses; Data Element; Data Security; Data Set; Data Storage and Retrieval; Database Management Systems; Databases; Dementia; Derivation procedure; Development; Disease; Drops; Ensure; Epidemiologic Methods; Event; Evolution; Future; Genetic; Growth; Image; Impaired cognition; Information Systems; Intervention; Joints; Knowledge; Measurement; Measures; Mediation; Methods; Modeling; Modernization; Participant; Pathology; Population; Prevention trial; Procedures; Process; Quality Control; Research Design; Risk; Sample Size; Sampling; Secure; Security; Selection Bias; Source; Statistical Data Interpretation; Statistical Methods; Statistical Models; System; Testing; Time; Translations; Work; aging brain; analytical method; cognitive performance; data access; data de-identification; data integration; data integrity; data management; data sharing; design; digital assessment; flexibility; follow-up; formycin triphosphate; imaging modality; improved; innovation; longitudinal analysis; neuroimaging; pre-clinical; prevent; programs; quality assurance; query optimization; simulation; study population; tau Proteins; tool

SUMMARY: CORE D- ANALYTIC CORE. The rigorous integration, analysis and interpretation of a wide array of data from the Cores and Projects is central to the Harvard Aging Brain Study (HABS). The Data Core provides the database and statistical support for these functions. The Core has developed and optimized: (i) the DataCentral database for data entry, quality assurance, storage, backup, security, and query systems, as well as linkage to raw and processed image files, (ii) data distribution for biostatistical analyses to support the project aims, and (iii) blinding to prevent inadvertent bias. The Core also supports, designs, and implements analyses that contribute to the definition and quantification of critical disease pathologies, brain networks, biomarkers, and their interactions, and participates in the selection of subsets of the sample for additional procedures or specific analyses, as needed. We also develop summary measures of brain pathologies and network disruption that can be used in a wide variety of analyses within and across projects, address methods needed for time-to-event and longitudinal analyses across multiple nonlinear processes within the aging brain, and develop models to address questions of causal inference. The Specific Aims of the Data Core are: 1. Data Integrity and Integration, which includes data entry, quality control, and storage; data access and distribution; and data sharing; 2. Statistical Support, Oversight, and Analysis, which involves statistical support for the Projects and Cores including simulation-guided study design and data analysis, and use of modern epidemiologic methods in causal inference to inform model construction, mediation analyses, and adjustment for selection bias and confounding, and 3. Development of Innovative Statistical Models and Methods, which includes joint modeling of PiB, FTP, functional connectivity and cognitive measures; treatment of misaligned biomarker measurements; modeling of censored time-to-event data that adjusts for delayed entry; derivation of efficient prevention trial populations and endpoints; and development of new methods for adjusting for selection bias in the setting of change-in-change analyses. Overall, the overarching responsibilities of the Data Core are to: manage the large and complex array of data that continues to be collected in the project, including neuroimaging data, clinical data, genetic, and biofluid data; integrate all data elements into a single database; and oversee and facilitate the statistical analyses for each Project--and across projects--using optimal analytic methods. Analytic Core support will ensure that the Program Project achieves unbiased and robust results that improve understanding of the course of Alzheimer’s disease and its translation into future efficient clinical trials.

摘要：核心D-分析核心。 来自核心和核心的数据是哈佛大学脑研究（HAB）的核心 为功能提供数据库和统计支持。 用于数据输入，质量分配，存储，备份，安全性和查询系统的数据中心数据库， 以及与原始图像文件的链接，（ii）生物统计分析的数据分布，以支持 项目的目的，（iii）对预防的无意偏见也支持，设计和工具 有助于关键疾病病理，大脑网络的定义和量化的分析 生物标志物及其相互作用，并参与样本子集的选择以获取附加 程序或特定的分析，我们还制定了脑部病理的摘要措施 可以在项目内部和跨项目内的各种分析中使用的网络中断，解决方法 在衰老大脑内的多个非层非线性过程中，需要花费时间和纵向的时间和纵向 并开发用于解决因果推理的问题的模型。 完整性和集成，包括数据输入，质量控制和存储； 和数据共享；统计支持，监督和分析 项目和核心包括模拟引入的研究设计和数据分析以及现代的使用 因果关系中的流行病学方法，以告知模型限制，中性分析和调整 用于选择偏见和混杂，以及3。创新统计模型和方法的开发， 包括PIB的联合建模，FTP，功能连接和认知措施； 生物标志物测量 预防效率试验和终点； 在变更分析的设置中的选择偏差。 核心是：管理继续在项目中收集的大型且复杂的数据阵列，包括 神经影像学数据，临床数据，遗传和生物流体数据； 并使用最佳分析来监督和促进每个项目以及整个项目的统计分析 方法。 提高对阿尔茨海默氏病进程的理解，并且是翻译的ITS INTE INTIC FUTURE效率临床 试验。