Biostatistics Shared Resource

生物统计学共享资源的主要目标是提供生物统计学和生物数学支持 实验室、转化、临床、人群和流行病学癌症研究的合作 亨斯迈癌症研究所（Huntsman Cancer Institute）生物统计学资源提高了科学素质， 通过在各级提供量身定制的专业咨询， 研究的阶段。该资源帮助研究者进行研究设计，样本量/功效计算， 数据分析、资助申请和手稿。重点是尽早进行协商， 充分考虑和调整研究设计，以满足研究的主要目标。的 资源还根据需要向癌症中心成员提供教育外展，使研究人员能够 更好地解决他们的具体研究问题。生物统计学共享资源，凭借其活动 与广泛的癌症研究人员，是中央癌症中心的优先事项。它也是一个焦点， 跨学科癌症研究，因为它促进了基础，人口和临床的合作工作 许多部门的研究人员。 生物统计学资源的主要研究内容集中在致癌作用建模， 适用于癌症途径的高通量基因组学方法（例如微阵列，ChIP-Seq， 和数字基因表达），以及用于分析癌症的家族性方面的方法学。使用本 癌症中心的共享资源在最近的周期中大幅增加， 生物统计学家参与了许多重要的科学发现。 Kenneth Boucher博士是资源总监，并向HCI高级总监报告。自从最近收到 获得犹他州大学临床和转化科学奖，生物统计学现在也隶属于 生物统计学的一部分资源保留直接癌症中心管理，而 附属机构允许增加专业知识的深度，并增加机构生物统计学家的互动 及相关学术活动。该资源还设立了一个咨询委员会， 审查结构，服务和研究质量，以及目标和需求。资源位于 HCI研究大楼。 2008年，癌症中心对共享资源的使用率为79%。请秘书长提供资金， CCSG将支付拟议生物统计预算的15%（74,806美元）。目前，资源近 能力，虽然21%的非中心使用可以重新优先考虑癌症中心成员， 需求出现了。此外，新的征聘工作应很快增加这一资源的能力。

The primary goal of the Biostatistics Shared Resource is to provide biostatistical and biomathematical support and collaboration for laboratory, translational, clinical, population, and epidemiological cancer studies underway at Huntsman Cancer Institute (HCI). The Biostatistics Resource enhances the scientific quality and sophistication of cancer research projects by providing tailored, professional consultation at all levels and stages of research. The Resource assists investigators with study design, sample size/power calculations, data analyses, grant applications, and manuscripts. Emphasis is placed on early consultation to allow adequate consideration and adaptation of study designs to meet the main objectives of the research. The Resource also provides educational outreach to Cancer Center members as needed, allowing investigators to better address their specific research problems. The Biostatistics Shared Resource, by virtue of its activities with a broad range of cancer investigators, is central to the Cancer Center's priorities. It is also a focal point of transdisciplinary cancer research, as it facilitates the collaborative work of basic, population, and clinical researchers from many departments. The primary research component of the Biostatistics Resource focuses on carcinogenesis modeling, on methodologies for high throughput genomics applicable to cancer pathways (such as microarray, ChlP-Seq, and Digital Gene Expression), and on methodologies for analysis of familial aspects of cancer. Use of this Shared Resource by the Cancer Center has increased substantially during the most recent cycle, and biostaticians have been involved in numerous important scientific discoveries. Kenneth Boucher, PhD, is the Resource Director and reports to HCI Senior Directors. Since the recent receipt of the University of Utah Clinical and Translational Science Award, Biostatistics is also now affiliated with the biostatistical component of that program. The Resource retains direct Cancer Center management, while the affiliation allows increased depth of expertise combined with increased interaction of institutional biostaticians and related academic activities. The Resource also has an established advisory committee, which regularly reviews structure, quality of service and research, as well as goals and needs. The Resource is housed in the HCI research building. In 2008, usage of the Shared Resource by the Cancer Center was 79 percent. Funds are requested from the CCSG to cover 15 percent ($74,806) of the proposed Biostatistics budget. The Resource is currently near capacity, although the 21 percent of non-Center use could be reprioritized to Cancer Center members should the need arise. Additionally, new recruitment efforts should soon add capacity to this Resource.