Biostatistics & Data Validation Core

生物统计学

• 批准号: 10589868
• 负责人: Ashley Golden
• 金额: $ 27.37万
• 依托单位: NORTHWESTERN UNIVERSITY AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-10 至 2027-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10589868
• 关键词: Analysis of Variance; Animals; Benchmarking; Biometry; Caring; Charge; Chemicals; Clinical; Code; Collaborations; Communication; Communities; Computer software; Coupled; Data; Data Analyses; Data Set; Daughter; Detection; Electrostatics; Ensure; Evaluation; Experimental Designs; Goals; Graph; Human; Injury; Institution; Investigation; Literature; Manuscripts; Medical; Medicine; Meta-Analysis; Methodology; Modeling; Modernization; Morphology; Nature; Nuclear; Nuclear Reactors; Nuclear Weapon; Particle Size; Performance; Principal Investigator; Process; Radiation; Radiation Injuries; Radiation Protection; Radiation exposure; Radioactive; Radioisotopes; Radiology Specialty; Reliability of Results; Reporting; Reproducibility; Research; Research Design; Research Project Grants; Roentgen Rays; Sample Size; Services; Signal Transduction; Source; Specific qualifier value; Statistical Data Interpretation; Statistical Methods; Techniques; Testing; Toxic effect; Translations; Uncertainty; Validation; Work; analytical method; clinical practice; data integrity; data management; data repository; data standards; data visualization; design; dosimetry; experimental study; fluorescence imaging; high dimensionality; innovation; laboratory experiment; medical countermeasure; member; programs; sound; synergism; trend

Biostatistics and Data Validation Scientific Core: Abstract The overall goal of the Biostatistics and Data Validation (BDV) Scientific Core is to ensure scientific rigor, reliability of results, and reproducibility of research undertaken within the proposed Program, entitled, ‘Multi- Scale Evaluation and Mitigation of Toxicities Following Internal Radionuclide Contamination’. While the interdisciplinary nature and synergies of this Program are unique strengths, it can also present challenges for integration between research projects at different institutions, particularly with regard to standardized data management and statistical approaches. As such, the BDV Core will provide integrated support for statistical design and analyses, source term characterization, data management, and validation of models and findings. Principal Investigators (PIs) from collaborating institutions will have ready access to the team of biostatisticians, radiation subject matter experts, and medical practitioners for the coordination, verification, and execution of research experiments, data management, and analyses. The BDV Core will collaborate closely with research project PIs to ensure that sound experimental designs, statistical methodologies, and radiological source terms are utilized and documented, a critical factor in assuring that results are reliable and reproducible. A unique aspect of this Core is the implementation of strategic validation and bench-marking processes, accomplished by identifying appropriate datasets or results from literature, models, and other available sources for use in sensitivity analyses and comparisons to confirm that inferences and results from the Program are consistent with known or previously reported findings. This effort, coupled with clinical perspective provided by radiation medicine experts, is critical to ensuring integrity of research results and products while promoting translation into practice for in-field radiation protection, medical management of radiation exposure and injury, and use of medical countermeasures. Further, centralized management of the Program data repository by the BDV Core, with oversight from the Program Administrative Core, will ensure data integrity, accessibility, and version control. In conclusion, the integrated expertise in biostatistics, radiation source term characterization, validation analyses, and data management provided by the BDV Core will provide valuable scientific support for the successful completion of the proposed research projects in the Program.

生物统计学和数据验证科学核心：摘要 生物统计和数据验证(BDV)科学核心的总体目标是确保科学严谨性， 结果的可靠性和在拟议的计划内进行的研究的可重复性，该计划的标题是 放射性核素内污染毒性的规模评估与缓解而当 该计划的跨学科性质和协同效应是独特的优势，它也会给 整合不同机构的研究项目，特别是在标准化数据方面 管理和统计方法。因此，BDV核心将为统计提供综合支持 设计和分析、来源术语表征、数据管理以及模型和发现的验证。 来自合作机构的首席调查人员(PI)将随时可以接触到生物统计学家团队， 辐射主题专家和医生，用于协调、验证和执行 研究性实验、数据管理和分析。BDV核心将与研究人员密切合作 项目绩效指标，以确保合理的实验设计、统计方法和放射源术语 被利用和记录，这是确保结果可靠和可重现的关键因素。独一无二的 这一核心的一个方面是实施战略验证和基准过程，由 从文献、模型和其他可用的来源中确定适当的数据集或结果，以用于 敏感度分析和比较，以确认程序的推论和结果与 已知或先前报道的发现。这一努力，再加上辐射提供的临床前景 医学专家，对于确保研究结果和产品的完整性，同时促进翻译成 现场辐射防护、辐射暴露和损伤的医疗管理以及使用的实施规程 医学对策。此外，由BDV核心对节目数据储存库进行集中管理， 在计划管理核心的监督下，将确保数据完整性、可访问性和版本控制。 总之，生物统计学、放射源术语描述、验证分析、 而BDV Core提供的数据管理将为成功的 完成本计划中拟议的研究项目。