IGF::OT::IGF YAN LI - THE ESTIMATION OF HEALTH DISPARITY SUMMARY MEASURES FOR COMPLEX SURVEY SAMPLES

美国卫生与公众服务部、国立卫生研究院、国家癌症研究所（NCI）、癌症控制和人口科学部（DCCPS）、监测研究计划（SRP）要求开发根据复杂调查数据估计的健康差异的推断方法 健康人的首要目标之一是实现健康平等，消除差距，改善所有群体的健康。为了跟踪实现这一目标的进展情况，需要有衡量差距的方法。随着复杂的抽样调查越来越多地用于疾病监测，推断方法是不容易获得的许多常见的报告健康差距（HD）的措施。NCI的SRP已经开始了一个项目，在各种调查抽样方案下开发和评估相对集中指数的点和方差估计值。目前正在进行的工作已就拟议估算方法的可行性取得了可喜的初步成果。

The U.S. Department of Health and Human Services, National Institutes of Health, National Cancer Institute (NCI), Division of Cancer Control and Population Sciences (DCCPS), Surveillance Research Program (SRP), has a requirement for developing inference methods of health disparities when estimated from complex survey data One of the Healthy People’s overarching goals is to achieve health equality, eliminate disparities, and improve the health of all groups. In order to track progress toward this goal, methods are needed for measuring disparities. As complex sample surveys have increasingly been used for disease surveillance, inference methods are not readily available for many commonly reported health disparity (HD) measures. The NCI’s SRP has begun a project of developing and evaluating the point and variance estimators of the Relative Concentration Index under various survey sampling scenarios. Work underway has yielded promising preliminary results on the feasibility of the proposed estimation methods.