Biostatistics

生物统计学

• 批准号: 8822226
• 负责人: David Jarjoura
• 金额: $ 22.3万
• 依托单位: OHIO STATE UNIVERSITY
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8822226
• 关键词: Address; Applications Grants; Biometry; Biostatistics Core; Biostatistics Shared Resource; Cancer Center Support Grant; Clinical; Clinical Trials; Communication; Complex; Comprehensive Cancer Center; Data; Data Analyses; Data Quality; Education; Ensure; Future; Grant; Instruction; Investigation; Laboratories; Maintenance; Malignant Neoplasms; Modeling; Ohio; Paper; Pilot Projects; Population Sciences; Protocols documentation; Publications; Research; Research Activity; Research Design; Research Personnel; Resource Sharing; Resources; Science; Services; Statistical Data Interpretation; Statistical Methods; Technology; Testing; Universities; anticancer research; base; behavior measurement; biomedical informatics; design; informatics shared resource; innovation; meetings; novel strategies; population based; programs; research study; response; sound

PROJECT SUMIVIARY (See instructions): The Biostatistics Shared Resource (BSR) continues to provide The Ohio State University Comprehensive Cancer Center (OSUCCC) investigators a centralized resource for biostatistical expertise. Statistical issues are addressed at all levels of investigation: from the design of experiments to the maintenance of data quality; and from conclusions based on formal hypothesis testing to important leads discovered by data exploration. In support of this objective, the specific aims of this resource include: 1) collaborate with OSUCCC investigators in planning and designing laboratory experiments, clinical trials, and population based studies; 2) conduct statistical analysis of data generated by OSUCCC pilot projects, especially complex analysis and modeling needed for microarray studies and other types of high-dimensional data; 3) identify innovative and effective statistical methods in response to specific project needs that will enhance the quality of design, interpretations, and communication of results; 4) participate in all OSUCCC programs through administrative and research meetings to ensure that statistical issues are addressed; 5) provide education regarding biostatistical considerations in study design and analysis in cancer research; and 6) verify and validate data quality of OSUCCC studies with the OSUCCC Clinical Trials Office, Biomedical Informatics, and the Behavioral Measurement Shared Resources. These aims will be accomplished through proven successful approaches as well as newer approaches that respond to changes in technologies used by the research programs of the OSUCCC. For example, the BSR collaborated to set up a protocol to ensure integration across the three Shared Resources (Biostatistics, Biomedical Informatics and Microarray) for optimal support of OSUCCC investigators pursuing microarray expression studies. Over the past five years, the BSR has increased its collaborative integration into all programs. This has resulted in 1) BSR biostatisticians co-authoring over 200 cancer-related papers with OSUCCC investigators, which is more than double the number of publications cited in the previous renewal application; 2) a substantial increase in the number of successful programmatic grant submissions (10 new programmatic grants with biostatistics cores, as well as in the total number of cancer grants supporting BSR biostatisticians (from 10 in 2004 to 35 in 2009), 3) 11 additional biostatisticians hired to support OSUCCC investigators, 4) increased sophistication in high-dimensional data analysis, and 5) greater presence and influence in planning meetings for laboratory science, population science, and clinical trials.

项目摘要（参见说明）： 生物统计共享资源 (BSR) 继续为俄亥俄州立大学综合癌症中心 (OSUCCC) 研究人员提供生物统计专业知识的集中资源。统计问题在各个调查层面得到解决：从实验设计到数据质量的维护；从基于正式假设检验的结论到数据探索发现的重要线索。为了支持这一目标，该资源的具体目标包括：1）与 OSUCCC 研究人员合作规划和设计实验室实验、临床试验和基于人群的研究； 2）对OSUCCC试点项目产生的数据进行统计分析，特别是微阵列研究和其他类型的高维数据所需的复杂分析和建模； 3）针对具体项目需求确定创新且有效的统计方法，以提高设计、解释和结果交流的质量； 4) 通过行政和研究会议参与所有 OSUCCC 计划，以确保统计问题得到解决； 5) 提供有关癌症研究的研究设计和分析中的生物统计学考虑因素的教育；和 6) 与 OSUCCC 临床试验办公室、生物医学信息学和行为测量共享资源验证和验证 OSUCCC 研究的数据质量。这些目标将通过经过验证的成功方法以及响应 OSUCCC 研究项目所使用技术变化的新方法来实现。例如，BSR 合作制定了一项协议，以确保三个共享资源（生物统计学、生物医学）的集成 信息学和微阵列）为 OSUCCC 研究人员进行微阵列表达研究提供最佳支持。在过去五年中，BSR 加强了与所有项目的协作整合。 这导致 1) BSR 生物统计学家与 OSUCCC 研究人员共同撰写了 200 多篇癌症相关论文，这是之前更新申请中引用的出版物数量的两倍多； 2) 成功提交的规划拨款数量大幅增加（10 个以生物统计学为核心的新规划拨款，以及支持癌症拨款的总数） BSR 生物统计学家（从 2004 年的 10 名增加到 2009 年的 35 名），3) 额外聘请 11 名生物统计学家来支持 OSUCCC 研究人员，4) 提高高维数据分析的复杂性，以及 5) 在实验室科学、人口科学和临床试验的规划会议中更大的存在和影响力。