Biostatistics Resource

生物统计学资源是一个新的资源，产生于现有的成功计划， 乳腺中心的生物统计学、信息学和数据管理部门，以及生物信息学 前列腺孢子的来源。这个BCMCC资源目前包括三个博士教师，一个MS 教师和三名MS生物统计学家。该资源已经很好地融入了癌症中心， 在过去的一年里，为每个项目的研究人员提供支持，并共同撰写了22份同行评审报告。 与癌症中心研究人员一起出版。目前的人事预算中有70%以上用于 资源由同行审查供资的退款支付。 生物统计学资源由Susan G.希尔森贝克博士，他有丰富的经验， 为癌症临床试验和基础研究组织和提供生物统计和数据管理支持 调查研究。该资源的主要目的是支持癌症的研究工作 通过在设计、实施、分析和解释的生物统计学方面的合作， 临床和基础科学研究。这将通过提供生物统计援助来实现 包括一般咨询、实验设计、协助进行临床试验、统计 分析、方法学的发展和解释;教育和培训; 关于数据库开发的咨询。为了真正实现这一目标，资源将 必须扩大。我们将首先招聘更多具有临床试验专业知识的教师，以满足 这方面的迫切需要。随后征聘的人员将在更基本和更广泛的领域解决未得到满足的需求， 基因组研究我们还接触了学院内的其他定量科学家，他们 可能使癌症中心研究人员受益的特殊专业知识。通过这种方式，资源将为癌症提供 中心研究者具有强大的、广泛的生物统计学专业知识。

The Biostatistics Resource is a new resource that arose from existing successful programs in the Biostatistics, Informatics, and Data Management Section of the Breast Center, and in the Bioinformatics Resource of the Prostate SPORE. This BCMCC Resource currently comprises three PhD faculty, one MS faculty, and three MS staff biostatisticians. The Resource is already well-integrated into the Cancer Center, providing support to investigators in every Program during the last year and coauthoring 22 peer-reviewed publications with Cancer Center investigators. More than 70% of the current personnel budget for the Resource was covered by charge-backs on peer-reviewed funding. The Biostatistics Resource is led by Susan G. Hilsenbeck, Ph.D., who has extensive experience in organizing and providing biostatistical and data management support for both cancer clinical trials and basic research studies. The primary purpose of the Resource is to support the research efforts of the Cancer Center through collaboration on biostatistical aspects of design, conduct, analysis, and interpretation of clinical and basic science studies. This will be accomplished by providing biostatistical assistance including general consultation, experimental design, assistance with conduct of clinical trials, statistical analysis, methodologic development, and interpretation; education and training; statistical review for PRMS; and consultation on database development. In order to truly fulfill this purpose, the Resource will have to expand. We will first recruit additional faculty with expertise in clinical trials in order to meet the pressing and immediate need in this area. Subsequent recruits will address unmet needs in more basic and genomic studies. We are also reaching out to other quantitative scientists within the College who have special expertise that may benefit Cancer Center investigators. In this way the Resource will provide Cancer Center investigators with strong, broad-based biostatistical expertise.