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中文摘要
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项目摘要/摘要 加州大学旧金山分校TCORS中心的统计和信息学核心将为 中心的统计分析和数据管理活动。这一核心将继续促进加州大学旧金山分校 TCORS对烟草监管科学采取凝聚力方法的传统,将有助于实现该中心的 结合健康影响、行为和影响分析的综合主题,以提供可操作的 关于现有和新兴烟草产品的监管和公共宣传的信息。这 核心将通过实现两个具体目标来实现这些目标:(1)通过以下方式提供量化支持 研究规划、对数据管理的支持以及对所有项目的生物统计咨询和分析;以及(2) 为协作和数据共享提供培训、支持和资源。这一核心将参与所有五个 在中心项目、快速反应项目、发展试点项目和职业培训人员中 增强核心。我们将与每个项目团队合作,以确保研究得到适当的设计, 进行样本量和功率分析,帮助制定措施,创建随机化时间表,当 适用,并制定分析计划。这一核心将有助于年轻一代的职业发展 调查人员需要对他们的项目提供统计建议或支持。我们将利用我们的经验在 烟草研究和数据系统与项目组在安全数据获取方面进行合作,确保 数据质量、监测项目进度、最终确定可用于分析的数据集和执行生物统计 对项目的分析。我们将协调和管理数据共享请求。该核心还将培训项目 团队成员使用安全数据系统进行数据获取和管理,构建和使用安全数据系统 用于分发研究文件的网站,并取消识别数据集并将其公开提供给 通过UCSF DataShare共享数据。
英文摘要
PROJECT SUMMARY/ABSTRACT The Statistics and Informatics Core of this UCSF TCORS Center will provide full and ongoing support for all statistical analysis and data management activities of the Center. This Core will continue to facilitate the UCSF TCORS' tradition of a cohesive approach to tobacco regulatory science and will help achieve the center's integrated theme of combining health effects, behavior, and impact analysis to provide actionable information for regulation of and public communications about current and emerging tobacco products. This Core will achieve these goals by accomplishing two Specific Aims: (1) Provide quantitative support through research planning, support for data management, and biostatistical advice and analysis to all projects; and (2) Provide training, support and resources for collaboration and data sharing. This Core will be engaged in all five of the Center projects, the Rapid Response Projects, Developmental Pilot Projects, and trainees in the Career Enhancement Core. We will collaborate with each project team to ensure the study is properly designed, conduct sample size and power analyses, help develop measures, create randomization schedules when applicable, and develop analysis plans. This Core will contribute to the career enhancement of young investigators needing statistical advice or support with their projects. We will leverage our experience in tobacco research and data systems to collaborate with the project teams on secure data acquisition, assuring data quality, monitoring project progress, finalizing analysis-ready data sets, and performing biostatistical analysis for projects. We will coordinate and manage requests for data sharing. This Core will also train project team members to use the secured data system for data acquisition and management, build and use a secured website for the distribution of study documents, and de-identify data sets and make them publicly available for data sharing via UCSF DataShare.
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CORE C: STATISTICS AND INFORMATICS
QUANTITATIVE CORE
LATENT CLASS GROWTH MODELING IN DRUG ABUSE RESEARCH
LATENT CLASS GROWTH MODELING IN DRUG ABUSE RESEARCH
海外基金