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

IGF::OT::IGF Yan LI - 复杂调查样本的健康差异汇总措施估计

• 批准号: 9369160
• 负责人: YAN LI
• 金额: $ 2.5万
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-19 至 2017-09-18
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9369160
• 关键词: Accounting; Cancer Surveillance Research Program; Complex; Data; Development; Disease; Division of Cancer Control and Population Sciences; Goals; Health; Measures; Methods; National Cancer Institute; Outcome; Reporting; Risk Factors; Sampling; Stratification; Surveys; United States Dept. of Health and Human Services; United States National Institutes of Health; Weight; Work; design; health disparity; improved; indexing

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.

美国卫生与公众服务部、国家卫生研究院、国家癌症研究所（NCI）、癌症控制与人口科学部（DCCPS）、监测研究计划（SRP）要求从复杂的调查数据中估计出健康差异的推断方法