Core G: Biostatistics and Data Management

核心 G：生物统计学和数据管理

• 批准号: 10667592
• 负责人: Dana L Tudorascu
• 金额: $ 194.74万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-30 至 2025-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10667592
• 关键词: Adult; Aging; Alzheimer' s Disease; Alzheimer’s disease biomarker; Biological Markers; Biometry; Clinical; Clinical Sciences; Clinical Trials; Collaborations; Communities; Data; Data Coordinating Center; Data Element; Data Files; Data Management Resources; Data Set; Database Management Systems; Databases; Dementia; Development; Disease Pathway; Disease Progression; Doctor of Philosophy; Documentation; Down Syndrome; Early identification; Ensure; Epidemiologist; Epidemiology; Evaluation; Functional Magnetic Resonance Imaging; Genetic; Human Resources; Impaired cognition; Individual; Information Systems; Kentucky; Laboratories; Lead; Magnetic Resonance Imaging; Medical center; Medicine; Methodology; Modality; Neurobehavioral Manifestations; Play; Population; Positron-Emission Tomography; Preparation; Procedures; Protocols documentation; Psychiatry; Public Health Schools; Publishing; Reporting; Reproducibility; Research; Research Personnel; Research Project Grants; Research Support; Resources; Role; Sampling; Schedule; Secure; Siblings; Source; Special Population; Specific qualifier value; Statistical Data Interpretation; Statistical Models; System; Testing; Translational Research; Universities; cohort; data infrastructure; data management; data resource; data sharing; design; experience; interest; longitudinal analysis; meetings; mid-career faculty; multidisciplinary; neuroimaging; neuropathology; operation; organizational structure; performance site; recruit; relational database; skills; statistics

Biostatistics and Data Management Core Abstract The Biostatistics and Data Management (BDM) Core facilitates research and collaboration with ABC-DS investigators by providing data management, epidemiological, analytic design and statistical support, and by creating an infrastructure for data sharing with the research community to further the understanding of Alzheimer’s Disease and Down syndrome. BDM Core personnel, lead by Drs. Tudorascu (statistics) and Andrews (data management) will support the ABC-DS Cores leaders and investigators in fulfilling the specific aims of Research Projects 1, 2 and 3 by establishing a secure, centralized online data management system, implementing a protocol to ensure the integration and documentation of clinical, neuroimaging, omics, genetic and neuropathology data and providing high-level statistical support, with expertise required to test each stated hypothesis in this project. These functions will be carried out through a multidisciplinary team of Biostatistics Methodology Groups (BMGs): statisticians, epidemiologists, and data management experts organized into groups, each with specific expertise and unique skills that can be used across several Projects and Cores. The Specific Aims that will be implemented using this organizational structure are as follows: Aim 1: Complete the transition to a unified relational database and project management system by harmonizing and integrating evaluation data across all Performance sites, incorporating the new, unified evaluation protocol, and providing functionality for scheduling and documenting all study procedures and integrating key data elements from the Clinical, Neuropathology, Omics, ADDORE and Neuroimaging Core; Aim 2: Create a set of analytic data files containing all original and derived data elements from all sources necessary for the statistical analysis required to test the hypotheses of each Research Project in this proposal, as well as create data sets meeting specifications for any secondary and ad hoc analyses planned during the conduct of this research; Aim 3: Lead the statistical data analyses, collaborate in report preparation for all Cores and Research Projects, and provide expertise on design and methodological aspects of statistical analyses for ABC-DS Research Projects; Aim 4: Develop and implement appropriate statistical models for longitudinal analyses of derived biomarkers from all modalities in order to make inferences with respect to impact at each stage of the development of AD in our cohort of adults with DS; Aim 5: Facilitate sharing of ABC-DS data through the Laboratory of Neuroimaging (LONI), serve as a methodological resource for researchers within and outside of ABC-DS interested in using the ABC-DS database for analyses, and provide documentation and ensure reproducibility of published ABC- DS research.

生物统计学与数据管理核心摘要