CC: Statistical Core

拟议的约翰霍普金斯肺癌SPORE的生物统计学核心将由经验丰富的 JHU肿瘤中心生物统计学和研究信息技术部的教授， 由科罗拉多的Belinsky博士的一位学院级长期统计合作者增强。的悠久历史 肿瘤学生物统计人员和研究者之间已经就该SPORE开展了合作。 其目的是： 1)通过协助设计，为项目中的所有项目提供生物统计咨询和支持， 进行、监测、可视化、分析、定量建模、解释和出版 在项目活动过程中产生的数据。 2)提供必要的基础设施支持，系统编程和计算机专业知识， 生物统计学在项目中的应用 3)改善约翰斯大学肺癌项目当前的临床研究数据库基础设施 霍普金斯。这种支持包括为数据输入、数据检索、患者和 样本跟踪，与其他电子数据系统的接口，确保数据质量的程序， 完整性、保密性和建立CaBIG兼容性，以促进项目间和SPORE间的兼容性 合作。 核心将在科学发展中发挥不可或缺的作用，执行和分析的所有项目， 孢子。核心研究者在定量方法方面具有广泛的互补经验， 生物医学应用，包括临床和基础科学研究。他们直接关心 正在调查的实质性问题;参加定期的项目和计划会议， 就项目中出现的所有量化问题提供严格和创新的投入。通过促进 此外，由于有多个项目，它们还将能够促进项目之间的跨学科互动。 该资源还将提供任何必要的生物信息学咨询项目中，如果他们应该 出现，因为生物统计学程序中存在强大的资源，因为它在其他SPORE中的作用 程序.

The Biostatistics core of the proposed Johns Hopkins SPORE in lung cancer will consist of experienced faculty and of the Division of Biostatistics and Research Information Technology in the JHU Oncology Center, augmented by a faculty-level long term statistical collaborator of Dr. Belinsky in Colorado. A long history of collaboration already exists between the Oncology Biostatistics personnel and investigators on this SPORE. Its purpose is to: 1) Provide biostatistical consultation and support to all projects in the program, by assisting in the design, conduct, monitoring, visualization, analysis, quantitative modeling, interpretation and publication of the data arising in the course of program activities. 2) Provide the infrastructural support, systems programming, and computer expertise necessary for biostatistical activities within the program. 3) Improve the current clinical research database infrastructure of the lung cancer program at Johns Hopkins. Such support includes designing new interfaces for data entry, data retrieval, patient and sample tracking, interface with other electronic data systems, procedures to ensure data quality, integrity, confidentiality and establishing CaBIG compatibility to facilitate inter-project and inter-SPORE collaborations. The Core will have an integral role in the scientific development, execution, and analysis of all projects in the SPORE. Core investigators have extensive and complementary experiences in quantitative methods for biomedical applications, including both clinical and basic science studies. They take a direct interest in the substantive issues being investigated; to participating in regular project and program meetings, and to providing rigorous and innovative input on all quantitative matters arising in the projects. By contributing to multiple projects, they will also be in a position to promote interdisciplinary interactions among projects. This resource will also provide any needed bioinformatics consultation to projects in the program if they should arise, because a strong resource exists within the biostatistics program by virtue of its role in other SPORE programs.