Core E - Comparative Data Analytics Core

核心 E - 比较数据分析核心

基本信息

批准号：
10044657
负责人：
DAVID B ALLISON
金额：
$ 12.01万
依托单位：
UNIVERSITY OF ALABAMA AT BIRMINGHAM
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-07-15 至 2025-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10044657
关键词：
Academy Address Aging Anatomy Animal Model Basic Science Bioenergetics Biological Sciences Biology Biology of Aging Body Composition Clinic Collaborations Communities Comparative Biology Comparative Study Competence Computational Science Computers Custom Data Data Analytics Dependence Development Discipline Engineering Event Face Frequencies Genomics Hand Health Investigation Investments Leadership Left Longevity Longitudinal Studies Mathematics Measurement Medicine Methods Modeling National Research Council Organism Phylogenetic Analysis Procedures Publications Recording of previous events Reporting Reproducibility Research Research Design Research Personnel Research Project Grants Residual state Respondent Sampling Science Scientist Statistical Data Interpretation Statistical Methods Statistical Models Structure Surveys Time Training United States National Institutes of Health Work base comparative computer science design experience health science research higher level mathematics longitudinal analysis mathematical sciences statistics success survival outcome

项目摘要

Project Summary – Comparative Data Analytics Core The Comparative Data Analytics Core (Analytics Core) will provide not only high-level customized statistical support for basic science investigators studying aging and energetics in diverse model organisms at UAB, but also a venue for development of de novo methods specially for such research and a platform for the dissemination of such methods to the aging research community at large. The core leadership comprises statistical scientists with decades of combined history of studying the interface of aging, energetics and body composition. They bring not only their statistical expertise, but their experience with and zeal for the science of comparative studies at the interface of aging and energetics. The need for specialized statistical expertise and support in aging research is clear. Statistical analyses of aging research data provide many challenges. Aging research involves longitudinal analyses and modeling the dependency of multiple observations taken over time, and accommodating the missing data that commonly occurs with longitudinal studies. Left, right, and interval censoring add further complexities with time-to-event (e.g., survival) outcomes. Statistical approaches in comparative biology face challenges such as phylogenetic dependence among model residuals that complicate inference. Non-statistician researchers benefit from the support and involvement of statistical scientists who are deeply involved in the subject matter, who can tailor methods to the situation at hand, who work with the biologists from the beginning as an engaged part of the research team, who can discuss the methods with the biologists and explain the statistical procedures and who can develop new statistical methods for specific needs. To that end, the Analytics Core offers the following specific aims: Specific Aims 1/2: To provide statistical support for 1) UAB investigators and 2) non-UAB investigators studying the comparative energetics of aging, including traditional, specialized, and bespoke methods. Specific Aim 3: To conduct high-level statistical investigations of secondary data to answer questions about the comparative energetics of aging. Specific Aim 4: To develop and evaluate statistical methods needed in the field of the comparative energetics of aging. Specific Aim 5: To provide reproducibility, verification, and transparency support for aging researchers. An investment in this core will achieve dividends by catalyzing more informative and rigorous research on aging within the UAB NSC and for the community of aging researchers at large. 1 of 1

项目摘要 – 比较数据分析核心比较数据分析核心（Analytics Core）不仅将提供高级定制统计支持阿拉巴马大学研究衰老和能量学的基础科学研究人员，但是也是专门用于此类研究的从头方法开发场所和平台向整个老龄化研究界传播此类方法的核心领导层包括。统计科学家拥有数十年研究衰老、能量学和身体界面的历史他们不仅带来了统计专业知识，还带来了对科学的经验和热情。衰老和能量学界面的比较研究。老龄化研究显然需要专门的统计专业知识和支持。研究数据带来了许多挑战。老龄化研究涉及纵向分析和建模。随着时间的推移进行的多次观察的依赖性，并适应通常情况下丢失的数据纵向研究发生左、右和间隔审查，这进一步增加了事件发生时间的复杂性。（例如，生存）结果的比较生物学的统计方法面临诸如系统发育的挑战。模型残差之间的依赖性使推理变得复杂。非统计学家研究人员受益于深入了解统计科学家的支持和参与参与主题，可以根据当前情况定制方法，与来自不同领域的生物学家合作一开始是研究团队的积极成员，他可以与生物学家讨论方法，解释统计程序以及谁可以针对特定需求开发新的统计方法。为此，分析核心提供以下具体目标：具体目标 1/2：为 1) UAB 研究人员和 2) 非 UAB 研究人员提供统计支持研究衰老的比较能量学，包括传统的、专业的和定制的方法。具体目标 3：对二手数据进行高水平统计调查以回答问题关于衰老的比较能量学。具体目标 4：开发和评估比较领域所需的统计方法衰老的能量学。具体目标 5：为老龄研究人员提供可重复性、验证和透明度支持。对这一核心的投资将通过促进对老龄化问题进行更丰富、更严格的研究来获得红利在 UAB NSC 内以及整个老龄化研究人员群体中。 1 中 1