CC: Statistical Core

提议的约翰霍普金斯大学肺癌孢子的生物统计学核心将由经验丰富的 北京协和大学肿瘤中心生物统计与研究信息技术教研室， 科罗拉多州别林斯基博士的一位教职员工级别的长期统计合作者对此进行了补充。有悠久的历史 在这个孢子上，肿瘤学生物统计人员和研究人员之间已经存在合作。 其目的是： 1)为项目中的所有项目提供生物统计咨询和支持，协助设计， 进行、监测、可视化、分析、定量建模、解释和出版 计划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 该计划内的生物统计活动。 3)改善约翰霍普金斯大学肺癌项目目前的临床研究数据库基础设施。这种支持包括为数据输入、数据检索、病人和样本跟踪设计新的接口，与其他电子数据系统接口，确保数据质量、完整性和保密性的程序，以及建立与CABIG的兼容性，以促进项目间和孢子间的合作。 核心将在孢子所有项目的科学发展、执行和分析方面发挥不可或缺的作用。核心研究人员在生物医学应用的定量方法方面拥有广泛和补充的经验，包括临床和基础科学研究。他们与正在调查的实质性问题直接相关；参加定期的项目和方案会议，并就项目中出现的所有量化问题提供严谨和创新的意见。通过为多个项目做出贡献，他们还将能够促进项目之间的跨学科互动。这一资源还将为该计划中的项目提供任何必要的生物信息学咨询，因为生物统计计划由于其在其他孢子计划中的作用而存在着强大的资源。

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.