CORE--STATISTICAL ANALYSIS OF TOXICS MEASUREMENT

核心--毒物测量统计分析

• 批准号: 6580383
• 负责人: David M. Rocke
• 金额: $ 16.52万
• 依托单位: UNIVERSITY OF CALIFORNIA AT DAVIS
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-04-01 至 2003-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6580383
• 关键词: biomedical facility; data management; environmental toxicology; experimental designs; hazardous substances; microarray technology; statistical service /center; statistics /biometry

The primary role of the statistics core will be to provide consultation on experimental design and assistance with data interpretation for the research projects and other cores. We also will provide database support to projects with particular attention to support of the Analytical Core A and the DNA microarray Core C. A new emphasis will be in the area of bioinformatic support. We will develop methods for the storage and interpretation of DNA microarray data and assist with pattern recognition systems with pattern recognition systems for proteomic and metanomic approaches. In addition we will develop new statistical methods for the emerging field of microarrays. We will continue our work on developing statistical methods for immunoarrays and other information systems with high density. Techniques such as Bayes estimation, non-linear optimal design, maximus pseudo likelihood, and M estimation will be employed. We propose the development and refinement of statistical methods and algorithms for the analysis of hazardous chemicals and for the creation of new and improved measurement techniques. This will be particularly important with the analysis of data from accelerator mass spectroscopy. We will deal with problems including non-linear calibration, non-constant variance, possible outliers, values near or below detection limits and high- dimensional and large data sets. These goals will be accomplished in five specific aims including: collaboration with other investigators with other investigators on statistical questions, develop new statistical methods for problems commonly encountered in hazardous chemical research, apply state-of-the-art techniques in numerical analysis and numerical optimization to develop efficient, fast, and reliable computer algorithms to solve problems in implementing statistical methods, develop software incorporating the above developments in statistical methodology and numerical methods for laboratory use, assist with bioinformatic problems induced by the complexly structured data files, and conduct outreach activities to transfer new statistical technology to the environmental and regulatory community.

统计核心的主要作用是就研究项目和其他核心的数据解释提供有关实验设计和协助的咨询。我们还将特别关注分析核心A和DNA微阵列核心的项目提供数据库支持C。我们将开发用于存储和解释DNA微阵列数据的方法，并通过用于蛋白质组学和元组方法的模式识别系统来协助模式识别系统。此外，我们将开发新的微阵列领域的新统计方法。我们将继续致力于开发具有高密度的免疫阵列和其他信息系统的统计方法。将采用诸如贝叶斯估计，非线性最佳设计，伪伪可能性和M估计等技术。我们提出了统计方法和算法的开发和完善，以分析有害化学物质以及创建新的和改进的测量技术。这将在分析加速器质谱的数据时尤其重要。我们将处理包括非线性校准，非恒定差异，可能的离群值，接近或低于检测限的值以及高维和大数据集的问题。这些目标将在五个具体目的中实现，包括：与其他研究人员在统计问题上的合作，为危险化学研究中通常遇到的问题开发新的统计方法，在数值分析中应用最新技术，并在数值优化中进行最新技术，以开发有效，快速，快速和可靠的计算机算法的问题，并在统计上实施统计方法，以实现统计方法，以实施统计方法，以实现统计的方法，而统计的方法是统计的，而统计的方法是在数值分析中进行的，而统计的方法是在数值分析中进行的，而统计学的方法是在数值分析中进行的，而统计的方法是在数值分析中进行的。使用，协助复杂结构化的数据文件引起的生物信息问题，并进行外展活动，以将新的统计技术转移到环境和监管社区。