Biostatistics and Bioinformatics Shared Resources

项目摘要：生物统计和生物信息学共享资源 生物统计学和生物信息学共享资源(BBSR)为西尔维斯特提供全面的癌症 中心(西尔维斯特)研究人员访问当代生物统计学、生物信息学和计算 支持临床试验以及实验室和基于人群的癌症研究的专业知识。这 关键的、高度利用的共享资源有助于研究的所有阶段，包括研究设计、数据 分析和解释，以及定量科学方法和应用工具的教育。在过去的时间里 三年来，BBSR大大扩展了其可达性、容量和广度，现在包括一个 主任(在生物统计和生物信息学方面都有专门知识)、四名生物统计员和三名 生物信息学家。生物技术和计算技术的进步显著增加了对 由资源和BBSR教职员工提供的复杂统计方法具有广泛的 癌症特有的经验和专业知识。西尔维斯特调查人员随时可以联系到BBSR的工作人员， 定期参与所有三个研究项目，并与其他共享资源负责人合作，以确保 为西尔维斯特会员提供全面、无缝的支持。BBSR为60西尔维斯特提供服务 2017日历年成员(其中77%获得同行审查资金)，占BBSR的65% 用法。BBSR满足了对Sylvester的迫切需求，确保了整个研究的统计有效性 从资助申请到基础、临床、转化性和基于人群的研究再到同行- 回顾了出版物。

PROJECT SUMMARY: BIOSTATISTICS AND BIOINFORMATICS SHARED RESOURCE The Biostatistics and Bioinformatics Shared Resource (BBSR) provides Sylvester Comprehensive Cancer Center (Sylvester) investigators access to contemporary biostatistics, bioinformatics, and computational expertise in support of clinical trials as well as laboratory- and population-based cancer research studies. This critical, highly utilized shared resource contributes to all phases of research, including study design, data analysis and interpretation, and education in quantitative science methods and application tools. Over the past three years, the BBSR has greatly expanded its accessibility, capacity, and breadth and now comprises a Director (with expertise in both biostatistics and bioinformatics), four biostatisticians, and three bioinformaticians. Advances in biotechnologies and computing have significantly increased the need for the sophisticated statistical methodologies provided by the resource and BBSR faculty and staff have extensive cancer-specific experience and expertise. BBSR staff are readily available to Sylvester investigators, participate regularly in all three research programs, and engage other shared resource leaders to ensure comprehensive and seamless support for Sylvester members. The BBSR provided services to 60 Sylvester members in calendar year 2017 (77% of which had peer-reviewed funding), which comprised 65% of BBSR usage. The BBSR serves a critical need for Sylvester, ensuring statistical validity of research across the continuum from grant applications to basic, clinical, translational and population-based research to peer- reviewed publications.