Biostatistics and Informatics Core

肺癌孢子生物统计和信息学核心在生物统计领域提供支持， 临床信息学，以及孢子调查者的生物信息学。此咨询和协作支持 旨在提高肺癌研究从实验室转化的速度和效率 去诊所。核心的目的是在研究设计、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。生物统计学 该小组主要协助研究和方案设计，以及数据分析和解释。这个 信息学小组协助数据质量控制、数据共享、设计和维护孢子 将临床、病理和实验室数据捕获到关系数据库中的数据库。这个群体也 设计了用于采集和存储所有样品的条形码系统。生物信息学小组协助 对大型数据库进行计算评估，特别是使用基因组和蛋白质组创建的数据库 使用基因表达、SNP阵列和蛋白质组图谱进行分析。所有核心成员都参与 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，以提高这一进程的效率和成果 翻译研究。 生物统计和信息学核心成员将在以下领域协助孢子调查人员： 1.实验设计。设计临床前和临床试验，以提供有用的 对肺癌重要科学问题的解答。 2.数据收集/存储/检索/共享：创建和维护一个完善和方便用户的 数据收集、存储、质量保证、检索和共享的基础设施，以支持 孢子试验和组织银行。 3.数据分析和手稿准备：组织数据分析，为下列问题提供明确的答案 问题，并在报告和论文中传达这些调查结果。 4.翻译研究方法：制定和实施连贯的方法， 提高从临床前到临床前的广泛研究的效率和效果 从研究到临床研究，包括开发工作以更好地了解病因 肺癌的研究、肺癌的早期发现、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.