Core 3: Data Analysis

生物统计学核心 摘要 生物统计核心(BC)将向个别项目和其他核心提供使用 适当的统计设计策略；执行样本量计算；创建和维护项目 通过合并来自创伤烧伤数据库的人口统计信息和详细的患者级别来创建数据库 来自临床数据仓库的信息和来自细胞因子核心的细胞因子测量；执行 对数据库进行质量检查；维护单个项目的数据集档案；协助 开发统计分析的模型和方法；检验假设并探索替代方案 建模程序；执行更复杂的数据分析；编写统计方法部分 用于手稿；并协助制作数据的图形显示。卑诗省的职责将是 由统计咨询和研究中心(CSCAR)的人员进行，该中心拥有 自1946年以来一直为密歇根大学研究界提供高质量的统计服务。 CSCAR的工作人员与统计系的教职员工有工作关系 和生物统计学，使人们可以随时获得统计方法方面的其他专门知识。定位BC 在CSCAR内是经济高效的，因为它允许项目和其他核心利用广泛的 CSCAR的应用统计学家工作人员的专业知识。生物统计核心还将得到Dr。 密歇根大学生物统计学系的罗德·利特尔作为顾问。利特尔博士将提供 就缺失数据的适当分析方法提供专家协助。

Biostatistics Core Abstract The Biostatistics Core (BC) will provide advice to individual projects and other cores on the use of appropriate statistical design strategies; perform sample size calculations; create and maintain the project database by merging demographic information from the trauma burn database and detailed patient level information from the Clinical Data Repository with cytokine measurements from the Cytokine Core; perform quality checks on the database; maintain an archive of data sets for individual projects; assist in the development of models and methods for statistical analysis; check assumptions and explore alternative modeling procedures; carry out the more complicated data analyses; write the statistical methods sections for manuscripts; and assist in the production of graphical displays of data. The duties of the BC will be carried out by personnel of the Center for Statistical Consultation and Research (CSCAR), a facility that has been providing quality statistical services to the University of Michigan research community since 1946. CSCAR staff members have working relationships with faculty members from the departments of Statistics and Biostatistics, providing ready access to additional expertise in statistical methodology. Locating the BC within CSCAR is cost-effective in that it allows the projects and other cores to make use of the broad expertise of CSCAR's staff of applied statisticians. The Biostatistics Core will also have the assistance of Dr. Rod Little, of the University of Michigan Biostatistics Department, as a consultant. Dr. Little will provide expert assistance on appropriate analysis methods for missing data.