评估全国健康访谈调查中的联系资格偏差。

Q1 Mathematics
Jonathan Aram, Cindy Zhang, C. Golden, C. Zelaya, C. Cox, Yeats Ye, L. Mirel
{"title":"评估全国健康访谈调查中的联系资格偏差。","authors":"Jonathan Aram, Cindy Zhang, C. Golden, C. Zelaya, C. Cox, Yeats Ye, L. Mirel","doi":"10.15620/CDC:100469","DOIUrl":null,"url":null,"abstract":"Background Linking health survey data to administrative records expands the analytic utility of survey participant responses, but also creates the potential for new sources of bias when not all participants are eligible for linkage. Residual differences-bias-can occur between estimates made using the full survey sample and the subset eligible for linkage. Objective To assess linkage eligibility bias and provide examples of how bias may be reduced by changes in questionnaire design and adjustment of survey weights for linkage eligibility. Methods Linkage eligibility bias was estimated for various sociodemographic groups and health-related variables for the 2000-2013 National Health Interview Surveys. Conclusions Analysts using the linked data should consider the potential for linkage eligibility bias when planning their analyses and use approaches to reduce bias, such as survey weight adjustments, when appropriate.","PeriodicalId":23577,"journal":{"name":"Vital and health statistics. Series 2, Data evaluation and methods research","volume":"186 1","pages":"1-28"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Assessing Linkage Eligibility Bias in the National Health Interview Survey.\",\"authors\":\"Jonathan Aram, Cindy Zhang, C. Golden, C. Zelaya, C. Cox, Yeats Ye, L. Mirel\",\"doi\":\"10.15620/CDC:100469\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background Linking health survey data to administrative records expands the analytic utility of survey participant responses, but also creates the potential for new sources of bias when not all participants are eligible for linkage. Residual differences-bias-can occur between estimates made using the full survey sample and the subset eligible for linkage. Objective To assess linkage eligibility bias and provide examples of how bias may be reduced by changes in questionnaire design and adjustment of survey weights for linkage eligibility. Methods Linkage eligibility bias was estimated for various sociodemographic groups and health-related variables for the 2000-2013 National Health Interview Surveys. Conclusions Analysts using the linked data should consider the potential for linkage eligibility bias when planning their analyses and use approaches to reduce bias, such as survey weight adjustments, when appropriate.\",\"PeriodicalId\":23577,\"journal\":{\"name\":\"Vital and health statistics. Series 2, Data evaluation and methods research\",\"volume\":\"186 1\",\"pages\":\"1-28\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Vital and health statistics. Series 2, Data evaluation and methods research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15620/CDC:100469\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vital and health statistics. Series 2, Data evaluation and methods research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15620/CDC:100469","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 1

摘要

背景将健康调查数据与行政记录联系起来,扩大了调查参与者反应的分析效用,但当并非所有参与者都有资格联系起来时,也可能产生新的偏见来源。剩余差异偏差可能出现在使用完整调查样本和符合链接条件的子集进行的估计之间。目的评估关联资格偏差,并举例说明如何通过改变问卷设计和调整关联资格调查权重来减少偏差。方法对2000-2013年全国健康访谈调查中不同社会人口群体和健康相关变量的联系资格偏差进行估计。结论使用关联数据的分析师在规划分析时应考虑关联资格偏差的可能性,并在适当时使用减少偏差的方法,如调查权重调整。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing Linkage Eligibility Bias in the National Health Interview Survey.
Background Linking health survey data to administrative records expands the analytic utility of survey participant responses, but also creates the potential for new sources of bias when not all participants are eligible for linkage. Residual differences-bias-can occur between estimates made using the full survey sample and the subset eligible for linkage. Objective To assess linkage eligibility bias and provide examples of how bias may be reduced by changes in questionnaire design and adjustment of survey weights for linkage eligibility. Methods Linkage eligibility bias was estimated for various sociodemographic groups and health-related variables for the 2000-2013 National Health Interview Surveys. Conclusions Analysts using the linked data should consider the potential for linkage eligibility bias when planning their analyses and use approaches to reduce bias, such as survey weight adjustments, when appropriate.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
13.20
自引率
0.00%
发文量
0
期刊介绍: Studies of new statistical methodology including experimental tests of new survey methods, studies of vital statistics collection methods, new analytical techniques, objective evaluations of reliability of collected data, and contributions to statistical theory. Studies also include comparison of U.S. methodology with those of other countries.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信