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、 结果的可靠性以及在拟议计划中进行的研究的可重复性，题为“多 内部放射性核素污染后毒性的规模评估和减轻”。 该计划的跨学科性质和协同作用是其独特的优势，但也可能带来挑战 不同机构研究项目之间的整合，特别是在标准化数据方面 因此，BDV 核心将为统计提供综合支持。 设计和分析、源术语表征、数据管理以及模型和结果的验证。 来自合作机构的首席研究员 (PI) 将可以随时接触生物统计学家团队， 辐射主题专家和医务人员负责协调、验证和执行 BDV 核心将与研究密切合作。 制定 PI，以确保合理的实验设计、统计方法和放射源术语 得到利用和记录，这是确保结果可靠和可重复的关键因素。 该核心的一个方面是战略验证和基准测试流程的实施，由以下人员完成 从文献、模型和其他可用来源中识别适当的数据集或结果以用于 敏感性分析和比较，以确认该计划的推论和结果与 已知或先前报告的发现，加上辐射提供的临床观点。 医学专家，对于确保研究成果和产品的完整性，同时促进转化为至关重要 现场辐射防护实践、辐射暴露和损伤的医疗管理以及使用 此外，BDV 核心对计划数据存储库进行集中管理， 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、辐射源术语表征、验证分析等方面的综合专业知识， BDV Core 提供的数据管理将为成功提供宝贵的科学支持 完成该计划中拟议的研究项目。