STATISTICAL COORDINATING CENTER FOR THE BREAST CANCER SU

统计协调中心(SCC)的主要职能是支持为乳腺癌监测联盟收集和分析数据，开发和实施新的统计方法，以确定乳房X光检查过程的特征，并为出版物的发展提供科学指导。该联盟的主要目标是提供有关社区乳腺癌筛查表现的以人群为基础的信息，改进肿瘤检测过程，检查实践模式和生物因素对结果的作用，并评估乳房X光摄影在降低乳腺癌发病率和死亡率方面的效果。在过去的四年中，SCC建立了标准化的数据收集系统，构建了标准化问题，分析了150万份乳房X光照片，以便纳入正在进行的三篇论文，并评估了读者在解释乳房X光照片时的可变性。在接下来的五年里，SCC将做以下工作：(1)通过改进质量控制和维护标准化的数据收集工具，实施继续提高不同地点数据可比性的方法；(2)维持一个数据管理系统，促进集中分析和快速开发新项目；(3)对筛查和症状性乳房X光检查的结果进行分析，以确定不同地点的预测因素和变异来源；(4)开发统计方法，允许对具有地点、放射科医生或妇女一级协变量的分层、纵向数据进行建模；(5)制定方法，评估BIRADS 0(不完整)对结果的有效性；(6)评估重复乳房X光检查人群的准确性；以及(7)通过维护联合会网页、举行数据经理和统计学家的年度会议、进行现场访问以及通过制定建议、进行分析和发布结果来参与科学领导，从而提供科学领导和传播。

The Statistical Coordinating Center's (SCC) primary functions are to support the collection and analysis of data for the Breast Cancer Surveillance Consortium, develop and implement new statistical methodology that will characterize the process of mammography, and provide scientific guidance in the development of publications. The major goals of the Consortium are to provide population-based information on the performance of breast cancer screening in the community, improve the process of tumor detection, examine the role of practice patterns and biological factors on outcomes, and evaluate the efficacy of mammography in reducing breast cancer morbidity and mortality. In the last four years the SCC has established a standardized data collection system, constructed standardized questions, analyzed 1.5 million mammograms for inclusion in three papers underway, and assessed reader variability in interpretation of mammograms. In the next five years, the SCC will do the following: (1) Implement methods that continue to improve comparability of data across sites by improving quality control and maintaining standardized data collection instruments; (2) Maintain a data management system that facilitates pooled analyses and rapid development of new projects; (3) Conduct analyses of the outcomes of screening and symptomatic mammography to identify predictors and sources of variation across sites; (4) Develop statistical methods that allow for modeling of hierarchical, longitudinal data with covariates at the site, radiologist, or woman level; (5) Develop methods to evaluate the efficacy of the BIRADS 0 (incomplete) on outcomes; (6) Evaluate accuracy in a population undergoing repeat mammography; and (7) Provide scientific leadership and dissemination by maintaining a Consortium Web page, conducting annual meetings of the Data Managers and Statisticians, conducting site visits, and participating in the scientific leadership by developing proposals, conducting analyses, and publishing the results.