SERVICES FOR SINGLE-RACE BRIDGED POPULATION ESTIMATES BY IMMIGRATION STATUS

按移民身份分类的单一种族桥接人口服务估计

• 批准号: 10038845
• 负责人: CAROLYN LIEBLER
• 金额: $ 3.61万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-16 至 2020-09-15
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10038845
• 关键词: American; Cancer Surveillance Research Program; Categories; Censuses; Community Surveys; Data; Division of Cancer Control and Population Sciences; Ethnic Origin; Immigrant; Immigration; Incidence; Individual; Infrastructure; Malignant Neoplasms; Methods; Minnesota; Modernization; National Health Interview Survey; Population; Probability; Publishing; Race; Recommendation; Reporting; Sampling; Series; Services; System; Universities; Update; base; cancer health disparity; computerized data processing; mortality; programs; racial disparity; response; statistics

The study of racial disparities in cancer incidence and mortality among immigrants requires population data being stratified by immigration status and single-race categories. The American Community Survey (ACS) is the only authoritative data for estimating populations, as immigration status information is not collected in the decennial censuses. However, the ACS data cannot be directly used to estimate such populations because the race data is collected in the multiple-race format in compliance with the 1997 OMB recommendations for collecting racial data in federal statistics systems. Prior effort of converting individual level multiple-race data in the ACS to single-race format exists. The University of Minnesota’s Integrated Public Use Microdata Series (IPUMS) program previously derived one single-race response for every individual in the ACS who reported to have multiple races using regression-based bridging probabilities. This method was previously implemented in the ACS sample data to derive a single-race variable (i.e. RACESING), which is released in University of Minnesota’s IPUMS data processing and release program. Despite the merit of this method, the data previously used may not reflect contemporary racial dynamics, as they are based on the pooled 1997-2000 National Health Interview Survey (NHIS) data. Because of concerns over bias that this temporal mismatch may cause to the estimation of racial distribution and challenges of integrating the single-race variable into the modernized IPUMS data processing infrastructure, starting from 2015, the IPUMS program have stopped producing and publishing this bridged single-race variable in ACS samples. The Division of Cancer Control and Population Sciences (DCCPS), Surveillance Research Program (SRP) requires 1) updated population estimates by single-race/ethnicity and immigration status for 2005-2014; 2) population estimates for 2015-2017 calculated using individual level data from the American Community Survey (ACS); and 3) population estimates for 2018-2019 calculated using individual level data from the American Community Survey (ACS). The deliverables provided under the subsequent purchase order will provide the denominator data required for the NCI to release cancer rates by single race and ethnicity among immigrants, and easy-to-access ACS samples that the NCI will be able to use to generate population estimates by alternative specifications.

研究移民中癌症发病率和死亡率的种族差异需要根据移民身份和单一种族类别对人口数据进行分层。美国社区调查（ACS）是估计人口的唯一权威数据，因为移民身份信息不收集在十年一次的人口普查中。然而，ACS的数据不能直接用于估计这些人口，因为种族数据是按照1997年OMB关于在联邦统计系统中收集种族数据的建议以多种族格式收集的。将ACS中的个人级别多种族数据转换为单种族格式的先前工作已经存在。明尼苏达大学的综合公共使用微数据系列（IPUMS）项目先前使用基于回归的桥接概率，得出了ACS中报告有多个种族的每个个体的单一种族反应。此方法先前在ACS样本数据中实现，以导出一个单种族变量（即RACESING），该变量在明尼苏达大学的IPUMS数据处理和发布程序中发布。尽管这种方法有优点，但以前使用的数据可能不能反映当代的种族动态，因为它们是基于1997-2000年全国健康访谈调查（NHIS）的汇总数据。由于担心这种时间上的不匹配可能会导致种族分布估计的偏差，以及将单一种族变量整合到现代化IPUMS数据处理基础设施中的挑战，从2015年开始，IPUMS项目已经停止在ACS样本中生成和发布这种桥接的单一种族变量。癌症控制和人口科学部（DCCPS），监测研究计划（SRP）需要1)更新2005-2014年单一种族/民族和移民身份的人口估计；2)根据美国社区调查（ACS）的个人数据计算的2015-2017年人口估计数；3)根据美国社区调查（ACS）的个人数据计算的2018-2019年人口估计数。根据后续采购订单提供的可交付成果将为NCI提供所需的分母数据，以发布移民中单一种族和民族的癌症发病率，以及NCI将能够使用的易于获取的ACS样本，以通过替代规范生成人口估计。