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。在这一作用中，它将：协助制定共同数据要素定义、数据收集和质量控制的标准；建立和维护具有一致格式和编码的安全数据库，以便有效地接受来自主要数据收集（PDCR）站点的数据；对为共同商定的项目收集的数据进行分析提供指导，并酌情进行初步分析；并作为canors的通信中心。SCC成员还将对新的或现有的方法进行研究，以分析在护理模式、亚人群获得护理和非随机、基于人群的研究结果等研究中产生的纵向和横断面数据。方法学研究包括将倾向得分的使用扩展到层次模型，开发从注册数据中输入缺失治疗信息的方法，以及将层次模型扩展到事件时间结果的项目。

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.