Biostatistics

项目SUMIVIARY(请参阅说明)： 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)的研究人员提供生物统计专业知识的集中资源。统计问题涉及调查的各个层面：从设计实验到保持数据质量；从基于正式假设检验的结论到通过数据探索发现的重要线索。为支持这一目标，该资源的具体目标包括：1)与OSUCCC调查人员合作，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)根据具体项目的需要，确定创新和有效的统计方法，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项目，以确保统计问题得到解决；5)在癌症研究的研究设计和分析中提供关于生物统计学考虑的教育；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一起验证和验证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对OSUCCC研究方案使用的技术变化做出反应的较新方法来实现。例如，BSR协作建立了一项协议，以确保跨三个共享资源(生物统计、生物医学)进行整合 信息学和微阵列)，为从事微阵列表达研究的OSUCCC研究人员提供最佳支持。在过去的五年中，BSR增加了与所有项目的协作整合。 这使得1)BSR生物统计学家与OSUCCC调查人员共同撰写了200多篇与癌症有关的论文，这是上一次续签申请中引用的出版物数量的两倍多；2)成功提交方案赠款的数量大幅增加(10个新的以生物统计为核心的方案赠款，以及支持的癌症赠款总数 BSR生物统计员(从2004年的10名增加到2009年的35名)，3)增加了11名生物统计员，以支持OSUCCC的调查人员，4)提高了高维数据分析的复杂性，5)在实验室科学、人口科学和临床试验的规划会议中发挥了更大的作用和影响力。

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.