Core C: Statistics Core

项目摘要-统计核心-核心C 近年来，促进科学的严谨性和可重复性已成为临床前研究的当务之急。 这些概念的重要特征包括合理的研究设计、统计分析和验证， 共享研究数据和统计程序代码，以便利复制和复制，并最大限度地 通过将数据汇集到旨在促进发现的存储库中来产生影响。统计核心的主要目标是 （i）在研究设计和数据分析方面提供有针对性的研究支持;（ii）建立数据标准， 数据存储程序，以促进遵守FAIR（可查找性，可访问性，互操作性， 可重用性）原则，促进有效的研究协作、数据共享和研究的可重复性 （iii）推进中心的教育使命（与研究教育中心密切合作 核心），为研究者、研究人员和研究生提供研究设计和统计方面的培训 为CounterACT科学目标量身定制的方法。使用经过验证的方法， 以前的加州大学戴维斯分校反ACT中心，核心将提供严格的统计研究支持， 实验设计，样本量估计和有效的数据分析方法，以尽量减少偏差，并确保 稳健的结果。统计核心由三位经验丰富的CounterACT统计师组成，包括 两名全职教授这三个人都有相当多的（10年以上）合作多学科研究的经验。 在核心C的教师统计学家和分析人员之间分配工作，并鼓励合作 在项目和核心中，每个实验都分配了一名主要的统计学家和分析师来支持 设计、数据收集、数据分析和结果报告。核心C人员每周举行简短会议， 讨论统计和数据库管理挑战并交流想法和方法的有效论坛 来解决这些问题。通过提供有针对性的统计专门知识、分析和数据储存支持以及培训， “统计核心”将通过以下方式促进研究成果的科学严谨性、可重复性和最终影响力 加州大学戴维斯分校反ACT卓越中心

Project Summary – Statistics Core – Core C Promoting scientific rigor and reproducibility has become an urgent priority in preclinical research in recent years. Important features of these concepts include sound study design, statistical analysis, and the validation and sharing of study data and statistical programming code to facilitate replication and reproduction, and to maximize impact by pooling data in repositories that aim to facilitate discovery. The Statistics Core’s primary objectives are to (i) provide targeted research support in study design and data analysis; (ii) establish data standards and procedures for data storage to promote adherence to FAIR (Findability, Accessibility, Interoperability, Reusability) Principles, facilitate efficient research collaboration, data sharing and reproducibility of research results; and (iii) advance the educational mission of the Center (in close partnership with the Research Education Core) by providing training to investigators, research staff and graduate students on study design and statistical methods tailored to CounterACT scientific objectives. Using a proven approach that has served us well for the previous UC Davis CounterACT Center, the Core will provide statistical research support in rigorous experimental design, sample size estimation, and effective data analysis methods to minimize bias and to ensure robust results. The Statistics Core consists of a trio of highly experienced CounterACT statisticians, including two full professors. All three have considerable (10+ years) experience in collaborative multidisciplinary research. To distribute efforts across Core C’s faculty statisticians and analytical staff, and to encourage collaboration across Projects and Cores, each experiment is assigned a primary faculty statistician and analyst to support the design, data collection, data analysis, and reporting of results. Brief weekly meetings of Core C personnel provide an efficient forum to discuss statistical and database management challenges and to share ideas and methods for addressing them. By providing targeted statistical expertise, analytical and data storage support, and training, the Statistics Core will promote the scientific rigor, reproducibility, and ultimate impact of research findings by the UC Davis CounterACT Center of Excellence.