BIOMETRY CORE FACILITY

生物测定核心设施

• 批准号: 7610469
• 负责人: EDSEL Aldea PENA
• 金额: $ 5.06万
• 依托单位: UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2008-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7610469
• 关键词: Biometry; Computer Retrieval of Information on Scientific Projects Database; Concise-Cap-C-Rynge; Core Facility; Count; Data; Data Analyses; Development; Event; Faculty; Funding; Grant; Hand; Human Resources; Institution; Methods; Modeling; Mus; Randomized; Recurrence; Research; Research Design; Research Personnel; Resources; Sample Size; Significance Level; Source; Specific qualifier value; Statistical Methods; Time; United States National Institutes of Health; Work; design; discrete data; mathematical model; research study; tumor

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Biometry Core. [Edsel Pena, Director] This core has been responsible for providing statistical support to the project investigators, including assistance in design of scientific experiments and studies, and the development of appropriate statistical and mathematical models. The Core also works with project faculty and staff in analyzing experimental results and drawing appropriate conclusions in a statistically rigorous manner. This involves (1) giving advice on the proper design of studies in regards to issues of randomization, sample size, and the statistical methods of analyzing the resulting data; (2) developing appropriate methods for determining the appropriate sample sizes to achieve a pre-specified power for a given level of significance that is tailored to the specific situation at hand, which is not covered by existing methods; (3) developing statistical methods of analysis of discrete data (tumor counts) with small sample sizes which is more appropriate for analyzing tumor count data of mice arising from the studies of CCCR personnel; (4) employing survival analytic methods to the analysis of data with which are incomplete or right-censored; (5) developing models and methods of analysis for relating longitudinal markers and event time or recurrent events.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 生物统计学核心。[Edsel佩纳，主任]该核心负责为项目调查人员提供统计支持，包括协助设计科学实验和研究，以及开发适当的统计和数学模型。 核心还与项目教师和工作人员合作，分析实验结果，并以严格的统计方式得出适当的结论。 这包括：（1）就随机化、样本量和分析结果数据的统计方法等问题提供适当的研究设计建议;（2）开发适当的方法来确定适当的样本量，以达到针对当前特定情况定制的给定显著性水平的预定功效，这是现有方法所不涵盖的;（3）发展离散数据分析的统计方法（4）采用生存分析方法分析不完整或右删失数据;（5）发展纵向标记与事件时间或复发事件相关的分析模型和方法。