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发挥着重要作用。1995年设立的生物统计职能和2004年设立的信息学职能最近得到了合并，以便为癌症中心成员提供一个无缝的支持系统。组成一个有凝聚力的统计人员和信息人员小组有助于确保所有项目在数据管理和分析的所有方面都取得一致的优秀成绩，并使人们能够交流方法，从而找到更有效和更有创造性的解决办法。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企业的质量。生物统计学和信息学共享资源目前包括18名成员和14.82名全职员工。所提供的服务包括研究设计咨询、数据收集、数据管理、数据分析、统计编程、生物信息学和系统生物学、结果解释和临床试验方案支持。在CCSG赠款的上一个周期，资源成员为199份出版物做出了贡献，其中包括155份共同作者，担任75份单一项目赠款和2份多项目赠款的共同调查员，并为提交90份赠款做出了贡献，其中45份获得资助。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研究重要的方法学研究，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.