Core E - Comparative Data Analytics Core

核心 E - 比较数据分析核心

• 批准号: 10260430
• 负责人: DAVID B ALLISON
• 金额: $ 11.82万
• 依托单位: UNIVERSITY OF ALABAMA AT BIRMINGHAM
• 依托单位国家: 美国
• 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/10260430
• 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

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（分析核心）不仅将提供高级定制统计信息 支持在UAB的潜水员模型生物中研究衰老和能量学的基础科学研究者，但 这也是开发从头发展方法的场所，用于此类研究和一个平台 将这种方法传播给整个老龄化研究界。核心领导包括 统计科学家数十年来研究衰老，能量和身体的界面的历史 作品。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的经验 衰老和能量学界面的比较研究。 对于老龄化研究的专业统计专业知识和支持的需求是显而易见的。老化的统计分析 研究数据提供了许多挑战。衰老研究涉及纵向分析和建模 随着时间的推移进行的多种观察的依赖性，并接受丢失的数据通常 发生在纵向研究中。左，右和间隔检查增加了随着事件时间的进一步复杂性 （例如，生存）结果。比较生物学中的统计方法面临诸如系统发育之类的挑战 模型残差之间的依赖性，使推理复杂化。 非统计的研究人员受益于深深地的统计科学家的支持和参与 参与主题，谁可以针对手头的情况量身定制方法，谁与生物学家合作 作为研究团队参与的一部分的开始，他们可以与生物学家和生物学家讨论这些方法 解释统计程序，以及谁可以根据特定需求开发新的统计方法。 为此，分析核心提供了以下特定目标： 具体目的1/2：为1）UAB调查人员和2）非UAB研究人员提供统计支持 研究衰老的比较能量，包括传统，专业和定制方法。 特定目的3：对辅助数据进行高级统计调查以回答问题 关于衰老的比较能量。 特定目的4：开发和评估比较领域所需的统计方法 衰老的能量。 特定目的5：为老化的研究人员提供可重复性，验证和透明度支持。 通过催化有关衰老的更多信息和严格的研究，对此核心的投资将获得股息 在UAB NSC和整个老龄化研究人员社区中。 1 of 1