Core F Biostatistics

核心 F 生物统计学

• 批准号: 10636936
• 负责人: Mei Cheng Wang
• 金额: $ 38.98万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10636936
• 关键词: Address; Adopted; Age; Alzheimer' s Disease; Alzheimer’s disease biomarker; Biological; Biological Markers; Biometry; Biostatistics Core; Blood; Brain imaging; Brain scan; Cerebrospinal Fluid; Characteristics; Clinical; Cognition; Cognitive; Consultations; Data; Data Analyses; Data Files; Enrollment; Evaluation; Funding; Goals; Impaired cognition; Individual; Longitudinal Studies; Longitudinal, observational study; MRI Scans; Magnetic Resonance Imaging; Measures; Pattern; Phase; Physical activity; Positron-Emission Tomography; Procedures; Research; Research Design; Research Personnel; Sample Size; Sleep; Specimen; Statistical Data Interpretation; Statistical Methods; Statistical Models; Techniques; Technology; Work; analytical tool; cohort; data integration; data sharing; data standards; design; lifestyle factors; member; middle age; mild cognitive impairment; novel; novel marker; pre-clinical; preclinical study; rate of change; screening; social engagement

BIOSTATISTICS CORE – CORE F: PROJECT SUMMARY/ABSTRACT The BIOCARD study is a longitudinal, observational study of 349 individuals who were cognitively normal and primarily middle aged (mean age=57.1) at enrollment. The subjects have now been followed for up to 27 years. The overall objectives of the project are to further advance the study of preclinical Alzheimer’s disease by: (1) clarifying the pattern and rate of change in AD biomarkers (including those based on CSF, blood, MRI, and PET imaging) and cognition; the biomarkers to be studied include several promising novel biomarkers derived from blood, CSF and brain imaging. (2) maximizing our data by working collaboratively with several research groups who have comparable data, and (3) providing a publicly accessible data, brain scans, and biological specimens, for researchers in the field. To accomplish these goals we established 7 Cores and, with this application, are also including 2 projects. The Biostatistics Core (Core F) is responsible for overseeing the study design and statistical analyses related to the BIOCARD study. The specific aims include: (1) to provide statistical support and expert statistical consultation for all analyses associated with the study, (2) to adopt and develop statistical methods and analytical tools to study biomarkers associated with the preclinical phase of Alzheimer’s disease, (3) to design and identify proper and robust analytical approaches to analyze integrated data from across the Cores and Projects, (4) to provide power calculations, sample size estimates and other quantitative approaches to examining new biomarkers that might be identified during the coming funding cycle, and (5) to incorporate newly developed measures, such as composite scores, into the datafiles shared with external investigators.

生物统计学核心 - 核心F：项目摘要/摘要 Biocard研究是一项纵向，观察性研究，对349个认知正常和 初级中年（平均年龄= 57.1）入学时。现在，受试者已被遵循长达27年。 该项目的总体目标是进一步促进研究阿尔茨海默氏病的研究 作者：（1）澄清AD生物标志物的模式和变化速率（包括基于CSF，血液，MRI， 和宠物成像）和认知；要研究的生物标志物包括几种有望的小说生物标志物 源自血液，CSF和大脑成像。 （2）通过与几个合作合作，使我们的数据最大化 具有可比数据的研究小组以及（3）提供公开访问的数据，脑部扫描和 生物标本，适用于该领域的研究人员。为了实现这些目标，我们建立了7个核心，并与 该应用程序还包括2个项目。生物统计学核心（核心F）负责监督 研究设计和统计分析与生物卡研究有关。具体目的包括：（1）至 提供与研究相关的所有分析的统计支持和专家统计咨询，（2） 采用和开发统计方法和分析工具来研究与临床前相关的生物标志物 阿尔茨海默氏病的阶段，（3）设计和确定适当且可靠的分析方法以分析 来自核心和项目的集成数据，（4）提供功率计算，样本量估计值 以及其他定量方法来检查新生物标志物可能在即将到来的 资金周期，（5）将新开发的措施（例如综合分数）纳入数据文件 与外部调查人员共享。