Core B: Facility/Service Cores

生物统计学核心（BC）正在开发中，以提供一系列的功能，是伯克利/斯坦福大学儿童环境健康（前）中心（CHP-C）的目标的核心。其中两个功能可以被认为是任何研究中心的通用功能，一个是CHP-C独有的功能。这两个通用函数是： 1)与数据管理团队合作，确保所有研究者用于所有分析的数据的质量;以及 2)为所有研究者进行的所有数据分析提供所需的统计输入。 独特的目标是继续PI及其统计合作者在因果统计方法（CSM）应用中所做的工作，以及边际结构模型（MSM）在环境健康研究中的各种应用。如下文将解释的，后一种合作涉及应用不断发展的方法来估计因果参数， 开发用户友好和计算效率高的软件。因果统计方法的应用促进了迄今为止没有得到适当解决的分析，

A Biostatistics Core (BC) is being developed to provide a series of functions that are central to the goals of the Berkeley/Stanford Children's Environment Health (Pre)-Center (CHP-C). Two of the functions can be considered generic to any research center and one is unique to the CHP-C. The two generic functions are: 1) to work in collaboration with the data management team to assure the quality of the data that are used for all analyses by all investigators; and 2) to provide statistical input required for all data analyses being carried out by all investigators. The unique goal is to continue the work that has been done by the PI and his statistical collaborators in the application of causal statistical methods (CSMs)¿various applications of marginal structural models (MSMs) to environmental health research. As will be explained below, this latter collaboration involves the application of evolving methods to estimate causal parameters and the development of user-friendly and computationally efficient software. Application of causal statistical methods has facilitated analyses that heretofore were not addressed appropriately by more