CC: Statistical Core

CC：统计核心

• 批准号: 7567935
• 负责人: Steven N. Goodman
• 金额: $ 15.6万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-10-01 至 2013-09-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7567935
• 关键词: Alzheimer' s Disease; Arts; Basic Science; Bioinformatics; Biometry; Biostatistical Methods; Biostatistics Core; Clinical; Clinical Research; Cognitive; Collaborations; Collection; Commit; Complex; Computer software; Confidentiality; Consultations; Data; Data Analyses; Data Collection; Data Set; Data Storage and Retrieval; Databases; Dementia; Doctor of Philosophy; Ensure; Equipment; Experimental Designs; Faculty; Fertilization; Genetic; Housing; Human Resources; Image; Imagery; Malignant neoplasm of lung; Measurement; Methodology; Mission; Modeling; Nature; Neurologic; Pattern; Pilot Projects; Positioning Attribute; Preparation; Procedures; Process; Recording of previous events; Reproduction spores; Research; Research Design; Research Infrastructure; Research Personnel; Research Project Grants; Resources; Secure; Services; Specimen; System; Techniques; Testing; Translational Research; Work; behavior measurement; computerized data processing; data management; design; healthy aging; information classification; meetings; member; mild neurocognitive impairment; molecular imaging; oncology; prevent; programs; quality assurance; sound; statistics; success

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.

拟议的约翰·霍普金斯孢子中肺癌的生物统计学核心将由经验丰富 JHU肿瘤学中心的生物统计学和研究信息技术的教职员工， 由科罗拉多州Belinsky博士的教师级长期统计合作者增强。漫长的历史 肿瘤学生物统计学人员与研究人员之间的合作已经存在。 它的目的是： 1）通过协助设计，向计划中的所有项目提供生物统计学咨询和支持， 进行，监视，可视化，分析，定量建模，解释和发表 在计划活动过程中产生的数据。 2）提供基础设施支持，系统编程和计算机专业知识 该计划中的生物统计活动。 3）改善约翰肺癌计划的当前临床研究数据库基础设施 霍普金斯。这种支持包括设计用于数据输入，数据检索，患者和的新接口 示例跟踪，与其他电子数据系统的接口，确保数据质量的过程， 完整性，机密性并建立Cabig兼容性以促进项目间和跨间 协作。 核心将在对所有项目的科学发展，执行和分析中具有不可或缺的作用 孢子。核心研究人员在定量方法方面具有丰富的互补经验 生物医学应用，包括临床和基础科学研究。他们对 实质性问题正在调查中；参加常规项目和计划会议，并 就项目产生的所有定量事项提供严格和创新的意见。通过贡献 多个项目，他们还将有能力促进项目之间的跨学科互动。 该资源还将为计划中的项目提供任何必要的生物信息学咨询 出现，因为生物统计学计划中存在强大的资源，因为它在其他孢子中的作用 程序。