Biostatistics and Informatics Core

肺癌孢子生物统计学和信息学核心提供生物统计学领域的支持， 临床信息学和生物信息学。这种咨询和协作支持 旨在提高肺癌研究从实验室转化的速度和效率 去诊所核心旨在为研究设计、数据管理、数据分析 临床信息学系统创建、生物信息学数据管理和解释。生物统计 小组主要协助研究和方案设计，以及数据分析和解释。的 信息组协助数据质量控制、数据共享、设计和维护SPORE 数据库，将临床、病理和实验室数据捕获到关系数据库中。该组也 为所有样本的收集和储存设计了条形码系统。生物信息学小组协助 大型数据库的计算评估，特别是那些用基因组和蛋白质组学创建的数据库， 使用基因表达和SNP阵列和蛋白质组学图谱进行分析。所有核心成员均参与 准备报告、演示文稿和手稿。除了这些服务，核心成员还将 继续努力制定新的办法，以提高 翻译研究 生物统计学和信息学核心成员将在以下领域协助SPORE研究人员： 1.实验设计。设计临床前和临床实验， 对肺癌重要科学问题的解答。 2.数据收集/储存/检索/分享：建立和维持一个健全和方便用户的 用于数据收集、存储、质量保证、检索和共享的基础设施， 孢子试验和组织库。 3.数据分析和手稿准备：数据分析的结构化，以提供明确的答案， 问题，并在报告和论文中传达这些调查结果。 4.转化研究方法：开发和实施连贯的方法， 提高从临床前到临床研究的效率和有效性 从研究到临床研究，包括更好地了解病因的发展工作 肺癌的早期诊断、肺癌风险的生物标志物和肺癌治疗。

The Lung Cancer SPORE Biostatistics and Informatics Core provides support in the areas of biostatistics, clinical informatics, and bioinformatics to SPORE investigators. This consultative and collaborative support is designed to increase the speed and efficiency with which lung cancer research is translated from the lab to the clinic. The Core is designed to provide support in study design, data management, data analysis, clinical informatics system creation, bioinformatics data management and interpretation. The Biostatistics group assists primarily with study and protocol design, and data analysis and interpretation. The Informatics group assists with data quality control, data sharing, designing and maintaining the SPORE database that captures clinical, pathologic, and laboratory data into a relational database. This group also designed the barcode system for collection and storage of all samples. The Bioinformatics group assists with computational evaluations of large databases, especially those created with genomic and proteomic analysis using gene expression and SNP arrays and proteomic profiles. All Core members participate in preparation of reports, presentations, and manuscripts. In addition to these services, Core members will continue their efforts to develop new approaches to improve the efficiency and outcomes of the process of translational research. Biostatistics and Informatics Core members will assist SPORE investigators in the following areas: 1. Experimental design. Design of both pre-clinical and clinical experiments that can provide useful answers to scientific questions of importance in lung cancer. 2. Data collection/storage/retrieval/sharing: Creation and maintenance of a sound and user-friendly infrastructure for data collection, storage, quality assurance, retrieval, and sharing in support of SPORE trials and tissue banking. 3. Data analysis and manuscript preparation: Structuring of data analyses to provide clear answers to questions, and to communicate those findings in reports and papers. 4. Translational research methodology: Development and implementation of coherent methods that improve the efficiency and effectiveness of research across the wide spectrum from pre-clinical research to clinical studies, including work in the development of better understanding of the causes of lung cancer, early detection of lung cancer, biomarkers of lung cancer risk, and lung cancer therapeutics.