Illustrating Informed Presence Bias in Electronic Health Records Data: How Patient Interactions with a Health System Can Impact Inference-Reference-Cited by-同舟云学术

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Illustrating Informed Presence Bias in Electronic Health Records Data: How Patient Interactions with a Health System Can Impact Inference

Published:2017-12-06 Issue:1 Volume:5 Page:22
ISSN:2327-9214
Container-title:eGEMs (Generating Evidence & Methods to improve patient outcomes)
language:
Short-container-title:eGEMs

Author:

Phelan Matthew,Bhavsar Nrupen,Goldstein Benjamin A

Publisher

Ubiquity Press, Ltd.

Cited by 56 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Patient recruitment using electronic health records under selection bias: A two-phase sampling framework;The Annals of Applied Statistics;2024-09-01

2. Incorporating informatively collected laboratory data from EHR in clinical prediction models;BMC Medical Informatics and Decision Making;2024-07-24

3. Machine learning data sources in pediatric sleep research: assessing racial/ethnic differences in electronic health record–based clinical notes prior to model training;Frontiers in Sleep;2024-02-14

4. Heterogeneity by age and gender in the association of kidney function with mortality among patients with diabetes - analysis of diabetes registry in Singapore;BMC Nephrology;2024-01-17

5. Real‐World Systolic and Diastolic Blood Pressure Levels and Cardiovascular Mortality in Patients With Type 2 Diabetes—Results From a Large Registry Cohort in Asia;Journal of the American Heart Association;2023-12-05

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