Biostatistics Shared Resource

生物统计共享资源(BSR) 项目摘要/摘要 生物统计共享资源(BSR)支持基础科学、翻译、临床和人口 加州大学戴维斯综合癌症中心(UCDCCC)的研究工作。BSR的生物统计学专业知识 涵盖了光谱所需的范围，包括分子生物科学、临床试验、 社区干预、动物研究和大规模数据库，如加州癌症登记处和 那些来自电子健康记录的信息。BSR提供直接服务并利用其他 UCD的资源，以满足UCDCCC日益增长的统计需求。BSR支持这项研究 UCDCCC的使命，为调查人员提供设计支持，以构思和规划新的 在对试点研究和资助研究提供分析支持的情况下，密切协调。BSR生物统计学家 是癌症研究生物统计方法的创新者，并为癌症研究提供了新的统计方法 风险预测建模和生物标记物发现。他们在纵向研究、癌症研究领域处于领先地位 筛查、风险评估、癌症临床试验设计、组学数据、GWAS研究、因果推断、缺失 数据、生存分析、亚组识别和成本效益研究。他们坚持最佳实践 用于可重复的研究，包括代码和方法的共享。他们对UCDCCC的支持非常高 有效利用机构支持，扩大CCSG直接提供的资金，以提供免费 支持新癌症的研究设计、方案制定、试点项目以及指导和培训 研究人员。充值费用为研究人员提供了一个比其他潜在统计数据更具竞争力的价格选择 大学内外的服务。CCSG的资金不用于重大研究 合作也不是为了独立的、由研究人员发起的统计方法研究。监督和 BSR的管理由董事Diana Miglioretti博士提供，她是一位国际知名的 生物统计学家，在乳腺癌筛查和辐射诱发癌症方面有专长，是几个 多站点项目的统计/数据协调中心。在下一个供资周期内，BSR将继续 为癌症的稳健和可重复的设计和分析提供创新和高效的服务- 相关研究。BSR的具体目标是：1)为稳健和高效的 设计新的研究和由研究人员发起的方案，包括样本量和功率计算以及 分析计划。2)为UCDCCC试点和其他研究、会议提供统计建议和分析支持 可复制的研究标准，从通过统计程序准备用于分析的数据集到 报道和出版。3)促进发展支持研究所需的统计方法 UCDCCC的目标。4)为《科学评论》提供统计咨询和代表 委员会、数据安全监测委员会和UCDCCC的内部咨询委员会。5) 为癌症研究人员提供必要的生物统计学知识和技能方面的教育和指导。

BIOSTATISTICS SHARED RESOURCE (BSR) PROJECT SUMMARY/ABSTRACT The Biostatistics Shared Resource (BSR) supports basic science, translational, clinical, and population research efforts of the UC Davis Comprehensive Cancer Center (UCDCCC). The BSR's biostatistics expertise spans the range necessary for this spectrum, including statistics for molecular biosciences, clinical trials, community interventions, animal studies, and large-scale databases like the California Cancer Registry and those derived from electronic health records. The BSR provides direct services and leverages additional resources at UCD to meet the growing statistical needs of the UCDCCC. The BSR supports the research mission of the UCDCCC by providing investigators with design support for conceptualizing and planning new studies and with analytic support for pilot and funded research, in close coordination. The BSR biostatisticians are innovators in biostatistical methods for cancer research and have contributed to new statistical methods for risk prediction modeling and biomarker discovery. They are leaders in the areas of longitudinal studies, cancer screening, risk assessment, design of cancer clinic trials, omics data, GWAS studies, causal inference, missing data, survival analysis, subgroup identification, and cost-effectiveness research. They adhere to best practices for reproducible research, including sharing of code and methods. Their support of the UCDCCC is highly efficient, leveraging institutional support to extend the funding directly provided by the CCSG to provide free support for study design, protocol development, pilot projects, and mentoring and training of new cancer researchers. Recharge fees offer researchers a competitively priced alternative to other potential statistical services both within and outside the university. CCSG funds are not used for significant research collaborations nor for independent, investigator-initiated research in statistical methodology. Oversight and management of the BSR is provided by the Director, Diana Miglioretti, PhD, an internationally known biostatistician with expertise in breast cancer screening and radiation-induced cancer and leader of several statistical/data coordinating centers for multisite projects. During this next funding cycle, the BSR will continue providing innovative and efficient services for the robust and reproducible design and analysis of cancer- related studies. The Specific Aims for the BSR are to: 1) Provide statistical expertise for the robust and efficient design of new studies and investigator-initiated protocols, including sample size and power calculations and analytic plans. 2) Provide statistical advice and analysis support for UCDCCC pilot and other studies, meeting reproducible research standards from preparation of data sets for analysis through statistical procedures to reporting and publication. 3) Foster development of statistical methodology needed to support the research goals of the UCDCCC. 4) Provide statistical consultation and representation to the Scientific Review Committee, the Data Safety Monitoring Committee, and the Internal Advisory Board of the UCDCCC. 5) Provide education and mentoring in the biostatistical knowledge and skills necessary for cancer researchers.