Core C: Data Management and Statistical Core

核心C：数据管理与统计核心

• 批准号: 9978578
• 负责人: Kumar B. Rajan
• 金额: $ 22.97万
• 依托单位: UNIVERSITY OF CALIFORNIA AT DAVIS
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9978578
• 关键词: Address; Aging; Alzheimer' s Disease; Alzheimer' s Disease Core Center; Area; Brain; Clinical; Cognition; Cognitive; Collaborations; Communities; Complex; Computer software; Data; Data Analyses; Data Collection; Data Linkages; Data Management Resources; Data Set; Database Management Systems; Databases; Degenerative Disorder; Dementia; Development; Diagnosis; Disease; Education; Elderly; Enrollment; Faculty; Fostering; Genetic; Goals; Grant; Heterogeneity; Impaired cognition; International; Latino; Leadership; Life Cycle Stages; Life Experience; Longitudinal Studies; Measures; Mediation; Mentors; Methodology; Methods; Mission; Modeling; Office of Administrative Management; Online Systems; Outcome; Participant; Pathogenesis; Pathway interactions; Patients; Prevention; Process; Progress Reports; Quality Control; Reporting; Reproducibility; Research; Research Design; Research Methodology; Research Personnel; Research Project Grants; Resource Informatics; Resources; Sample Size; Schedule; Science; Scientific Advances and Accomplishments; Secure; Site; Standardization; Statistical Data Interpretation; Structure; Training; Training Programs; Training and Education; Work; age related; analytical method; central database; cognitive testing; complex data; data management; data submission; education research; follow-up; high dimensionality; imaging biomarker; innovation; longitudinal analysis; longitudinal dataset; mild cognitive impairment; multimodal data; neuroimaging marker; next generation; outcome prediction; programs; statistics; student training; user-friendly

PROJECT SUMMARY ABSTRACT – Data Management and Statistics Core The Data Management and Statistics Core (DMSC) supports the mission of the UC Davis (UCD) Alzheimer's Disease Center (ADC) by maintaining a secure, central database; providing statistical analysis of the complex longitudinal data; and collaborating closely with the other Cores and investigators on research and mentoring. The DMSC team is internationally recognized for intellectual leadership that contributes to scientific advances, collaborations, and education and training. Key DMSC innovations in the current grant cycle (07/11–06/16) have included: 1) Refinement and expansion of the functionality of the state-of-the art database management system (Lava) that was developed and is maintained and extended through a cross-ADC collaboration. 2) Application of reproducible research principles and methods to dynamically generate reports that integrate database, data analysis, and written and graphic presentation of results. 3) Implementation of parallel process longitudinal models for correlated outcomes and predictors. 4) Development of analytic methods for high dimension imaging and biomarker data. 5) Creation of latent variable models to define, measure, and capture dynamic change in complex but important constructs like cognitive and functional reserve. 6) Statistical harmonization of cognitive test batteries to enable merging of datasets from different studies. 7) Local, national, and international leadership in collaborative science efforts and in training the next generation of researchers. In the next grant cycle, the DMSC will help to advance our understanding of factors that influence heterogeneity of cognitive trajectories across the spectrum from normal cognition through mild cognitive impairment and into dementia in four areas. 1) We will oversee data management for the UCD ADC and its Cores, providing a secure web-based central resource. 2) We will carry out statistical analyses for interdisciplinary ADC research on pathogenesis, diagnosis, treatment, and prevention of age-related degenerative disease. 3) We will develop new statistical methodology as needed to support the analysis of ADC's complex data. 4) We will work closely with the Research Education Component to mentor and train the next generation of AD researchers in study design, analysis, and presentation of results.

项目摘要摘要 - 数据管理和统计核心 数据管理和统计核心（DMSC）支持加州大学戴维斯分校（UCD）阿尔茨海默氏症的任务 疾病中心（ADC）维护安全的中央数据库；提供复杂的统计分析 纵向数据；并与其他核心和研究人员紧密合作。 DMSC团队因智力领导而受到国际认可，这有助于科学进步， 合作以及教育和培训。 当前赠款周期中的关键DMSC创新（07/11-06/16）包括：1）改进和扩展 开发并且是最先进的数据库管理系统（LAVA）的功能 通过跨ADC合作进行维护和扩展。 2）可再现研究原理的应用 以及动态生成集成数据库，数据分析以及书面和图形的报告的方法 结果的呈现。 3）实施并行过程纵向模型，以进行相关结果和 4）开发用于高维成像和生物标志物数据的分析方法。 5）创建 潜在变量模型以定义，测量和捕获复杂但重要构造中的动态变化 像认知和功能储备一样。 6）认知测试电池的统计协调以使合并 来自不同研究的数据集。 7）合作科学领域的本地，国家和国际领导 努力和培训下一代研究人员。 在下一个赠款周期中，DMSC将有助于提高我们对影响因素的理解 从正常认知到轻度认知的认知轨迹的异质性 在四个地区的损害并进入痴呆症。 1）我们将监督UCD ADC及其ITS的数据管理 核心提供了一个安全的基于Web的中央资源。 2）我们将进行统计分析 跨学科ADC关于发病机理，诊断，治疗和预防年龄有关的研究 退化性疾病。 3）我们将根据需要开发新的统计方法来支持分析 ADC的复杂数据。 4）我们将与研究教育部分紧密合作，以指导和培训 下一代广告研究人员在研究设计，分析和结果表现方面。