Administrative and Biostatistics Core

行政和生物统计核心

• 批准号: 10441575
• 负责人: PAVAN REDDY
• 金额: $ 10.31万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10441575
• 关键词: Accountability; Allogenic; Animal Model; Applications Grants; Bioinformatics; Biological; Biological Models; Biometry; Biostatistics Core; Clinical; Clinical Trials; Clinical Trials Design; Communication; Data; Diet; Disease model; Documentation; Human; Intestines; Link; Metabolism; Monitor; Patients; Program Research Project Grants; Regulation; Reporting; Sample Size; Services; Standardization; Statistical Data Interpretation; United States National Institutes of Health; Validation; clinical biomarkers; data integration; data sharing; design; experimental study; graft vs host disease; hematopoietic cell transplantation; large datasets; metabolome; metabolomics; microbial; microbiome; model building; transcriptome sequencing

PROJECT SUMMARY/ABSTRACT – Core A The main objectives of the core A are to facilitate optimal interactions amongst all of the projects and the cores. It will also provide support for appropriate organization and monitoring of the data sharing, documentation, financial reports, monitoring and accountability to all internal agencies and to the NIH. It will coordinate and provide engagement with internal and external scientific advisory boards (SABs). It will help with statistical designs for experiments in all of the projects and serve to provide the statistical support for the clinical trial and correlative analyses. It will facilitate biostatistical and bioinformatics model building, data integration from the projects and cores and interact appropriately with the Bioinformatics core, particularly where large datasets are generated from the clinical microbiome, RNA sequencing and metabolomics.

项目概要/摘要-核心A 核心A的主要目标是促进所有项目之间的最佳互动， 丹它还将为数据共享的适当组织和监测提供支持， 向所有内部机构和NIH提供文件、财务报告、监测和问责。它 将协调和提供与内部和外部科学咨询委员会（SAB）的参与。它 将有助于统计设计的实验在所有的项目，并提供统计 为临床试验和相关分析提供支持。它将促进生物统计学和生物信息学模型 构建，从项目和核心数据集成，并与生物信息学适当互动 核心，特别是从临床微生物组、RNA测序和 代谢组学