Biostatistics Shared Resource

生物统计学共享资源（BSR） 项目总结/摘要 生物统计学共享资源（BSR）支持基础科学，转化，临床和人口 UC Davis Comprehensive Cancer Center（UCDCCC）的研究成果。BSR的生物统计学专业知识 涵盖了这一光谱所需的范围，包括分子生物科学，临床试验， 社区干预、动物研究和大型数据库，如加州癌症登记处和 这些数据来自电子健康记录。BSR提供直接服务，并利用其他 在UCD的资源，以满足UCDCCC不断增长的统计需求。BSR支持这项研究 UCDCCC的使命，为研究人员提供设计支持，以概念化和规划新的 研究和分析支持试点和资助的研究，在密切协调。生物统计学家 是癌症研究生物统计方法的创新者，并为癌症研究的新统计方法做出了贡献。 风险预测建模和生物标志物发现。他们是纵向研究领域的领导者， 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，包括共享代码和方法。他们对UCDCCC的支持是高度的 高效，利用机构支持，扩大CCSG直接提供的资金， 支持研究设计、方案制定、试点项目以及新发癌症的指导和培训 研究人员充电费为研究人员提供了一个具有竞争力的价格替代其他潜在的统计 在大学内外提供服务。CCSG资金不用于重大研究 合作，也不为独立的，在统计方法学的倡导者发起的研究。监督和 BSR的管理由国际知名的Diana Miglioretti博士提供， 生物统计学家，具有乳腺癌筛查和辐射诱发癌症方面的专业知识， 多地点项目的统计/数据协调中心。在下一个融资周期，BSR将继续 为癌症的稳健和可重复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）提供统计专业知识， 设计新的研究和制药商发起的方案，包括样本量和功效计算， 分析计划。2)为UCDCCC试点和其他研究提供统计建议和分析支持，会议 可重复的研究标准，从通过统计程序准备数据集进行分析， 报告和出版。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内部咨询委员会。第五章） 为癌症研究人员提供必要的生物统计知识和技能的教育和指导。

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.