Core 2: Biostatistics

核心2：生物统计学

• 批准号: 10713716
• 负责人: Hao Wang
• 金额: $ 23.42万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-19 至 2028-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10713716
• 关键词: Address; Adherence; Adoption; Adverse event; Alpha Particle Emitter; Alpha Particles; Animal Model; Bioinformatics; Biological; Biological Markers; Biometry; Biostatistics Core; Cancer Center Support Grant; Clinical Research; Collaborations; Communication Methods; Consultations; Data; Data Analyses; Data Collection; Data Element; Data Linkages; Data Storage and Retrieval; Database Management Systems; Databases; Dedications; Development; Dose; Ensure; Evaluation; Faculty; Formulation; Goals; Human Resources; Image; Informatics; Infrastructure; Laboratory Study; Link; Malignant Neoplasms; Manuscripts; Methodology; Methods; Modeling; Monitor; Oncology; Pathology; Patient-Focused Outcomes; Patients; Positioning Attribute; Preparation; Procedures; Process; Program Research Project Grants; Protocols documentation; Publications; Quality Control; Radiobiology; Radiopharmaceuticals; Research; Research Design; Research Personnel; Research Project Grants; Resources; Running; Sample Size; Sampling; Science; Secure; Service Statistics; Specialist; Specific qualifier value; Specimen; Statistical Models; Techniques; Tissue Banks; Tissues; Translational Research; Universities; Work; absorption; biomarker identification; complex data; data acquisition; data dissemination; data exchange; data infrastructure; data integration; data management; data quality; design; dosimetry; flexibility; human subject; improved; in vivo; informatics infrastructure; innovation; medical schools; meetings; member; novel; preclinical study; programs; quantitative imaging; response; sound; stem; synergism; tool; translational study; treatment planning; treatment response

Project Summary The Biostatistics Core (Core C) will collaborate and provide comprehensive statistics service and infrastructure support for clinical and pre-clinical studies to all Research Projects in the proposed Program Project Grant. In addition, it will provide support for data management and integration, informatics, and computing, and assist with the identification and solution of complex data tasks arising in the course of project activities. Core members will work with project investigators across a wide spectrum of activities, encompassing formulation of the study design, data acquisition and database management, statistical quality control, patient study monitoring, data analysis and interpretation, abstract and manuscript preparation, and data dissemination. Furthermore, when required by specific project, Core personnel develop and implement innovative customized biostatistics methodologies and tools in collaboration with investigators in the P01. The Core C Resource is housed in the Division of Biostatistics and Bioinformatics, Department of Oncology at Johns Hopkins University School of Medicine. The Division comprises an active and committed group of biostatistics and bioinformatics faculty, as well as non-faculty biostatisticians, bioinformaticians and IT specialists, with access to state-of-the art methodologies and a broad range of expertise. Core members have a strong commitment to this P01, stemming from their long-standing collaborations in the research of αRPT. All proposed Projects make use of this Core Resource in every Aim. The primary objective of the Core C is to guide and assist the project investigators in the design, conduct, and analysis of the laboratory, translational, and clinical studies proposed in this P01. The program has dedicated biostatisticians thoroughly versed in the subject matter associated with the projects, and all projects have access to the breadth of expertise provided by Core personnel. Additionally, Core members interact on a regular basis, and work closely with the Administrative Core A and Animal Models, Pathology and Tissue Core (Core B) and Patient Data Core (Core D), which contributes to interactions and synergy among the projects.

项目摘要 生物统计学核心（核心C）将协作并提供全面的统计服务和基础架构 支持拟议计划项目赠款中所有研究项目的临床和临床前研究。在 此外，它将为数据管理和集成，信息信息和计算提供支持，并协助 随着在项目活动过程中出现的复杂数据任务的识别和解决方案。核 成员将与各种活动的项目调查员合作，包括 研究设计，数据获取和数据库管理，统计质量控制，患者研究 监视，数据分析和解释，摘要和手稿准备以及数据传播。 此外，在特定项目的需要时，核心人员发展并实施创新的定制 生物统计学方法和工具与P01中的研究人员合作。核心C资源是 约翰·霍普金斯大学（Johns Hopkins University）肿瘤学系的生物统计学和生物信息学系 医学院。该部门包括一个活跃而坚定的生物统计学和生物信息学的组 教师以及非教师生物阶级主义者，生物信息学家和IT专家，并获得最先进 艺术方法和广泛的专业知识。核心成员对此P01有坚定的承诺， 源自他们在αRPT研究中的长期合作。所有提议的项目都使用 每个目标的核心资源。 核心C的主要目的是指导和协助项目调查人员进行设计，行为， 以及对本P01提出的实验室，翻译和临床研究的分析。该程序有 专门的生物统计学家彻底精通与项目相关的主题 项目可以访问核心人员提供的专业知识。此外，核心成员 定期互动，并与行政核心A和动物模型紧密合作 和组织核心（核心B）和患者数据核心（核心D），这有助于相互作用和协同作用 在项目中。