Biostatistics and Informatics Shared Resource

生物统计学和信息学共享资源（BISR）在夏威夷大学癌症中心的研究活动中起着至关重要的作用。1995年成立的生物统计功能和2004年成立的信息学功能最近被合并，以便为癌症中心的成员提供无缝的支持系统。组成一个有凝聚力的统计学家和信息学家小组有助于确保在所有项目的数据管理和分析的所有方面统一卓越，并允许交流方法方法，从而产生更有效和创造性的解决办法。BISR的首要目标是确保遵循合理的分析原则，从而提高癌症中心研究事业的质量。生物统计学和信息学共享资源目前包括18个成员和14.82个FTE。提供的服务包括研究设计、数据收集、数据管理、数据分析、统计规划、生物信息学和系统生物学、结果解释和临床试验方案支持方面的咨询。在CCSG资助的上一个周期内，该资源的成员共发表了199篇论文，其中155篇是共同作者，共同研究了75项单一项目资助和2项多项目资助，并参与提交了90项资助，其中45项获得资助。该资源将继续满足夏威夷大学癌症中心的生物统计学和信息学需求，将继续进行对癌症中心成员的研究很重要的方法学研究，并将继续开发用于存储和处理高维数据的计算基础设施。

The Biostatistics and Informatics Shared Resource (BISR) plays an essential role in the research activities of the University of Hawai'i Cancer Center. The biostatistics function, established in 1995, and the informatics function, established in 2004, have recently been consolidated in order to provide a seamless support system to Cancer Center members. The formation of a cohesive group of statisticians and informaticians helps assure uniform excellence in all aspects of data management and analysis across all projects and allows for an exchange of methodological approaches leading to more efficient and creative solutions. The overarching goal of the BISR is to ensure that sound analytic principles are followed, thereby improving the quality of the research enterprise of the Cancer Center. Eighteen members and 14.82 FTE are currently included in the Biostatistics and Informatics Shared Resource. Services provided include consultation on study design, data collection, data management, data analysis, statistical programming, bioinformatics and systems biology, interpretation of findings, and clinical trials protocol support. During the last cycle of the CCSG grant, members of the resource contributed to 199 publications, including 155 as co-authors, served as co-investigators on 75 single project grants and 2 multi-project grants, and contributed to the submission of 90 grants, 45 of which were funded. The resource will continue to meet the biostatistical and informatics needs of the University of Hawai'i Cancer Center, will continue to perform methodological research important to the research of cancer center members, and will continue to develop a computational infrastructure for the storage and processing of high-dimensional data.