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2015-2021 年 Healthcare.gov 市场参保数据中缺失种族和民族信息的趋势：填补后分析。

Trends in Missing Race and Ethnicity Information After Imputation in HealthCare.gov Marketplace Enrollment Data, 2015-2021.

机构信息

US Department of Health and Human Services (HHS), Washington, DC.

Office of the Assistant Secretary for Planning and Evaluation (ASPE), Washington, DC.

出版信息

JAMA Netw Open. 2022 Jun 1;5(6):e2216715. doi: 10.1001/jamanetworkopen.2022.16715.

DOI:10.1001/jamanetworkopen.2022.16715
PMID:35687340
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9187953/
Abstract

This cross-sectional study examines patterns of missing information on race and ethnicity after an imputation of HealthCare.gov enrollment data between 2015 and 2021.

摘要

本横断面研究考察了 2015 年至 2021 年间 HealthCare.gov 登记数据推断后种族和民族信息缺失的模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f105/9187953/5d9650b54eaa/jamanetwopen-e2216715-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f105/9187953/5d9650b54eaa/jamanetwopen-e2216715-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f105/9187953/5d9650b54eaa/jamanetwopen-e2216715-g001.jpg

相似文献

[1]
Trends in Missing Race and Ethnicity Information After Imputation in HealthCare.gov Marketplace Enrollment Data, 2015-2021.

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[2]
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[3]
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[5]
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[6]
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[7]
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[10]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
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本文引用的文献

[1]
Imputation of race/ethnicity to enable measurement of HEDIS performance by race/ethnicity.

Health Serv Res. 2018-12-3

[2]
Demographic aspects of first names.

Sci Data. 2018-3-6

[3]
When Race/Ethnicity Data Are Lacking: Using Advanced Indirect Estimation Methods to Measure Disparities.

Rand Health Q. 2016-6-20

[4]
Power of tests for a dichotomous independent variable measured with error.

Health Serv Res. 2008-6

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