CanCORS Statistical Coordinating Center

癌症结果研究和监测联盟(CanCORS)的统计协调中心(SCC)将为该联盟提供统计和行政支持。在这一职责中，它将协助制定共同数据要素、数据收集和质量控制的定义标准；建立和维护一个格式和编码一致的安全数据库，以便有效地接受初级数据收集站点的数据；为为共同商定的项目收集的数据提供分析方面的指导，并酌情进行初步分析；以及充当全球数据收集系统的通信枢纽。SCC成员还将对新的或现有的方法进行研究，以分析护理模式研究中产生的纵向和横向数据、亚人群获得护理的机会以及非随机、以人群为基础的研究的结果。方法论研究包括以下项目：将倾向性评分的使用扩展到分层模型，开发从登记数据中输入缺失治疗信息的方法，以及将分层模型扩展到事件发生时间结果。

The Statistical Coordinating Center (SCC) for the Cancer Consortium for Outcomes Research and Surveillance (CanCORS) will provide statistical and administrative support for the consortium. In that role, it will: assist in establishing standards for the definitions of common data elements, data collection and quality control; build and maintain a secure data base with consistent formatting and coding that will efficiently accept data from Primary Data Collection (PDCR) sites; provide guidance in the analyses of the data gathered for the commonly agreed upon projects and conduct the primary analyses where appropriate; and serve as the hub of communications for CanCORS. Members of the SCC will also conduct research into new or existing methods for the analysis of the longitudinal and cross-sectional data arising in studies of patterns of care, access to care for sub-populations, and outcomes in non-randomized, population-based studies. The methodologic research includes projects on extending the use of propensity scores to hierarchical models, developing methodology for imputing missing treatment information from registry data, and extending hierarchical models to time-to-event outcomes.