Biostatistics & Data Management Core

生物统计和数据管理核心(核心C)的主要目的是将来自不同来源的信息汇集到一个综合数据库中，并协调统计分析，重点放在PPG的主要目标上。次要角色将是解决因分析方案项目数据而产生的任何方法问题。我们PPG的首要目标是找出压力、肥胖和饮食在高血压发展中的协同作用的途径，这些途径是开放的治疗干预。为实现这一目标，本项目提出了不同类型的调查。这将需要截然不同的设计和分析方法。生物统计和数据管理核心将帮助项目的研究人员选择适当的实验设计和分析技术，以处理特定的假设，特别是侧重于为所产生的每一类数据所使用的数据分析方法的合理性。核心还将作为PPG的数据汇编、质量控制、数据管理、数据分析和口译支助的重点。为此，我们提出了以下三个具体目标：(1)设计和应用分析方法，以便在与项目小组的每个项目有关的定量研究中使用；(2)为研究项目提供持续的统计咨询，重点是诸如实验设计、样本量、所用模型的适当性和有效性、权威性考虑、结果解释以及为报告和出版物编写手稿等问题；以及(3)维持一个数据流系统，确保为项目小组项目收集的所有数据的准确性、安全性、有效性和存档。

The main purpose of the Biostatistics and Data Management Core (Core C) is to bring together the information from different sources into an integrated database, and to coordinate the statistical analyses with the focus being on the main goals of the PPG. A secondary role will be to resolve any methodological issues resulting from the analyses of the Program Project data. The overarching goal of our PPG is to identify pathways that account for the synergistic effects of stress, obesity and diet in the development of hypertension that are open to therapeutic intervention. Different types of investigations are being proposed in this project to accomplish this goal. This will require distinctly different design and analytical methods. The Biostatistics and Data Management Core will help the investigators of the projects to choose appropriate experimental designs and analytical techniques tailored to address specific hypotheses, especially, focusing on justification of the data analysis method to be used for each type of data generated. The Core will also serve as the focus for data compilation, quality control, data management, data analysis and interpretation support for the PPG. To that extent, we propose the following three Specific Aims: (1) Design and apply analytical methods to be used in the quantitative studies associated with each of the projects in the PPG; (2) Provide ongoing statistical consultation to research projects, focusing on issues such as experimental design, sample size, aptness and validity of models to be used, power considerations, interpretation of results, and preparation of manuscripts for presentations and publications; and, (3) Maintain a dataflow system that insures accuracy, security, validation and archiving of all data collected for the projects of the PPG.