Biostatistics and Informatics Core

UCLA前列腺孢子的生物统计学和信息学核心将在两个相关领域提供支持。 领域：a）生物统计分析、统计咨询和研究设计，以及B）研究数据收集， 管理、报告和数据共享。每个项目都将利用工具、基础设施和 这一核心所提供的专业知识。此外，生物统计学和生物信息学核心将在以下方面提供支持： 与Inter-SPORE类似的跨SPORE协作的数据共享和通信领域 生物标志物研究（IPBS）在下文中更详细地描述。整合生物统计学、数据管理和 同一核心内的生物信息学确保了无缝的数据分析流程，因为相同的人员将 处理每个项目的研究设计、数据存储、统计分析和数据共享。核心 成员在紧密合作和有效支持临床 investigators.生物统计学核心的组织是为了协助研究者在组织的各个方面， 数据库管理系统的选择和设置。我们的目标是：1） 协助临床、实验室和流行病学研究的生物统计学设计; 2）协助分析 研究数据，即一般统计咨询和提供设施进行癌症临床试验， 特别是早期研究I期、II期，其中评估临床和生物标志物研究; 3） 提供分析组织阵列的设施，包括软件和最新的统计方法; 4） 提供设计和进行蛋白质组学数据分析的设施; 5）提供设计和 进行微阵列基因表达的数据分析; 6）发展生物统计学方法， 7）建立一个网站和内联网，以支持内部通信， 向公众传播项目成果和数据; 8）使用一套通用软件工具（ 中央代码簿和方案跟踪器），以支持研究和临床数据收集、管理， 报告和9）将数据移动到caTissue和临床注释引擎：caBIG工具。

The biostatistics and informatics core for the UCLA Prostate SPORE will provide support in two related areas: a) biostatistical analyses, statistical consulting, and study design and b) research data collection, management, reporting, and data sharing. Each of the projects will utilize the tools, infrastructure, and expertise provided by this core. In addition, the biostatistics and bioinformatics core will provide support in the area of data sharing and communication for inter-SPORE collaborations similar to the Inter-SPORE Biomarker Study (IPBS) described in more detail below. Integrating biostatistics, data management, and bioinformatics within the same core ensures a seamless data analysis flow since the same people will handle study design, data storage, statistical analysis, and data sharing for each of the projects. The core members have a demonstrated track record of close collaboration and effective support of clinical investigators. The Biostatistics Core is organized to assist investigators in all aspect of the organization of their data flow and in the choice and setup of database management systems. In particular, we aim to 1) assist in the biostatistical design of clinical, laboratory, and epidemiological studies; 2) assist in the analysis of research data, i.e.general statistical consulting and to provide facilities to carry out cancer clinical trials, especially early phase studies Phase I, Phase II where both clinical and biomarker studies are assessed; 3) provide a facility for analysis of tissue arrays including software and up-to-date statistical methodology; 4) provide a facility to design and carry out data analyses of proteomics data; 5) provide a facility to design and carry out data analyses of microarray gene expression; 6) develop biostatistical methodology for statistical problems arising in the SPORE; 7) build a web site and Intranet to support internal communications and dissemination of project accomplishments and data to the public; 8) utilize a common set software tools (the Central Codebook and Protocol Tracker) to support research and clinical data collection, management, and reporting and 9) move data to caTissue and the Clinical Annotation Engine: caBIG tools.