Assessing Linkage Eligibility Bias in the National Health Interview Survey.

Jonathan Aram, Cindy Zhang, Cordell Golden, Carla E Zelaya, Christine S Cox, Yeats Ye, Lisa B Mirel
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引用次数: 0

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.

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评估全国健康访谈调查中的关联资格偏差。
背景:将健康调查数据与行政记录联系起来,扩大了调查参与者回答的分析效用,但当并非所有参与者都有资格获得联系时,也可能产生新的偏见来源。残差——偏倚——可能发生在使用完整调查样本和符合联系条件的子集所做的估计之间。目的评估连锁资格偏差,并举例说明如何通过改变问卷设计和调整连锁资格的调查权重来减少偏差。方法对2000-2013年全国健康访谈调查的不同社会人口群体和健康相关变量进行关联资格偏倚估计。使用关联数据的分析人员在规划分析时应考虑关联资格偏差的可能性,并在适当时使用诸如调查权重调整等方法来减少偏差。
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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.
期刊最新文献
Calibration Weighting Methods for the National Center for Health Statistics Research and Development Survey. Assessing Linkage Eligibility Bias in the National Health Interview Survey. Assessing Linkage Eligibility Bias in the National Health Interview Survey. An Investigation of Nonresponse Bias and Survey Location Variability in the 2017-2018 National Health and Nutrition Examination Survey. National Health and Nutrition Examination Survey, 2015-2018: Sample Design and Estimation Procedures.
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