Addressing bias in preterm birth research: The role of advanced imputation techniques for missing race and ethnicity in perinatal health data-Reference-Cited by-同舟云学术

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Addressing bias in preterm birth research: The role of advanced imputation techniques for missing race and ethnicity in perinatal health data

Published:2024-06 Issue: Volume:94 Page:120-126
ISSN:1047-2797
Container-title:Annals of Epidemiology
language:en
Short-container-title:Annals of Epidemiology

Author:

Scroggins Jihye Kim,Hulchafo Ismael Ibrahim,Topaz Maxim,Cato Kenrick,Barcelona Veronica

Funder

National Institute of Nursing Research

Columbia University Data Science Institute

Gordon and Betty Moore Foundation

Publisher

Elsevier BV

Reference34 articles.

1. Electronic health records to facilitate clinical research;Cowie;Clin Res Cardiol,2017

2. Using electronic health records for population health research: a review of methods and applications;Casey;Annu Rev Public Health,2016

3. Patients in context-EHR capture of social and behavioral determinants of health;Adler;N Engl J Med,2015

4. The accuracy of race & ethnicity data in US based healthcare databases: a systematic review;Johnson;Am J Surg,2023

5. Challenges with quality of race and ethnicity data in observational databases;Polubriaginof;J Am Med Inf Assoc,2019

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