Biostatistics and Bioinformatics Shared Resources

项目摘要：生物统计学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）提供西尔维斯特综合癌症 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 在支持临床试验以及实验室和人群为基础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。过去 三年来，BBSR大大扩展了其可访问性，容量和广度，现在包括一个 主任（具有生物统计学和生物信息学方面的专业知识）、四名生物统计学家和三名 生物信息学家生物技术和计算的进步大大增加了对 由资源和BBSR教师和工作人员提供的复杂的统计方法有广泛的 癌症的经验和专业知识。BBSR的工作人员随时可以为西尔维斯特的调查人员服务， 定期参与所有三个研究项目，并与其他共享资源的领导者合作，以确保 为西尔维斯特会员提供全面、无缝的支持。BBSR为60名西尔维斯特提供服务 2017日历年的成员（其中77%的成员获得了同行评审的资金），占BBSR的65% 使用. BBSR满足了西尔维斯特的关键需求，确保了整个研究的统计有效性。 从赠款申请到基础、临床、转化和基于人口的研究，再到同行研究， 审查出版物。

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.