Biostatistical Core

核心C：生物统计核心的工作人员将负责向 这一方案的研究。生物统计学核心由蒂莫西·D·约翰逊博士监督 密歇根大学公共卫生学院生物统计学系。核心提供帮助 在设计、分析和解释临床前和动物实验方案。堆芯 人员将与项目调查人员互动，以确保适当的设计和分析方法 都被使用过。设计问题涉及剂量的选择、随机化、测量的时间和样本量 考虑因素。对于数据分析，核心将确保使用有效的方法。标准图形， 将采用分组比较和相关分析的方法对实验进行初步调查 数据。在涉及重复实验的实验中，将使用混合模型方法来有效利用数据 措施。约翰逊博士在动物和临床数据的设计和分析方面经验丰富。这将是 确保从所有项目获得的所有数据将被有效地收集并进行适当的分析。 公共卫生：总体而言，这项研究工作将开发药物范例和治疗组合 在动物模型中靶向干细胞种群。这些临床前实验有可能 转化为临床试验。

CORE C: The staff of the Biostatistics Core will be responsible for providing biostatistical support to the research of this program. The Biostatistical Core is under the supervision of Dr. Timothy D. Johnson of the Biostatistics Department in the University of Michigan School of Public Health. The core provides assistance in the design, analysis and interpretation of preclinical and animal experiments of the program. Core personnel will interact with project investigators to ensure that appropriate designs and methods of analysis are used. Design issues involve selection of dose, randomization, timing of measurements and sample size considerations. For data analyses, the core will ensure that efficient methods are used. Standard graphical, group comparison and correlation methods of analysis will be used for initial investigation of the experimental data. Mixed model methods will be used for efficient use of the data in experiments involving repeated measures. Dr. Johnson is experienced in the design and analysis of both animal and clinical data. This will ensure that all data obtained from all Projects will be collected efficiently and analyzed appropriately. Public Health: Overall, this research effort will develop drug paradigms and treatment combinations for target stem cell populations in animal models. These pre-clinical experiments have the potential for translation to clinical trials.