Healthcare utilization is a collider: an introduction to collider bias in EHR data reuse
NG Weiskopf, DA Dorr, C Jackson… - Journal of the …, 2023 - academic.oup.com
Objectives Collider bias is a common threat to internal validity in clinical research but is
rarely mentioned in informatics education or literature. Conditioning on a collider, which is a …
rarely mentioned in informatics education or literature. Conditioning on a collider, which is a …
How and when informative visit processes can bias inference when using electronic health records data for clinical research
BA Goldstein, M Phelan, NJ Pagidipati… - Journal of the …, 2019 - academic.oup.com
Objective Electronic health records (EHR) data have become a central data source for
clinical research. One concern for using EHR data is that the process through which …
clinical research. One concern for using EHR data is that the process through which …
[HTML][HTML] Illustrating informed presence bias in electronic health records data: how patient interactions with a health system can impact inference
M Phelan, NA Bhavsar, BA Goldstein - EGEMs, 2017 - ncbi.nlm.nih.gov
Electronic health record (EHR) data are becoming a primary resource for clinical research.
Compared to traditional research data, such as those from clinical trials and epidemiologic …
Compared to traditional research data, such as those from clinical trials and epidemiologic …
[HTML][HTML] An empirical study for impacts of measurement errors on EHR based association studies
Over the last decade, Electronic Health Records (EHR) systems have been increasingly
implemented at US hospitals. Despite their great potential, the complex and uneven nature …
implemented at US hospitals. Despite their great potential, the complex and uneven nature …
Informative presence bias in analyses of electronic health records-derived data: a cautionary note
Objective Electronic health record (EHR)-derived data are extensively used in health
research. However, the pattern of patient interaction with the healthcare system can result in …
research. However, the pattern of patient interaction with the healthcare system can result in …
External validation of an algorithm to identify patients with high data-completeness in electronic health records for comparative effectiveness research
Objective Electronic health records (EHR) data-discontinuity, ie receiving care outside of a
particular EHR system, may cause misclassification of study variables. We aimed to validate …
particular EHR system, may cause misclassification of study variables. We aimed to validate …
On the nature of informative presence bias in analyses of electronic health records
Electronic health records (EHRs) offer unprecedented opportunities to answer
epidemiologic questions. However, unlike in ordinary cohort studies or randomized trials …
epidemiologic questions. However, unlike in ordinary cohort studies or randomized trials …
A narrative review on the validity of electronic health record-based research in epidemiology
MA Gianfrancesco, ND Goldstein - BMC medical research methodology, 2021 - Springer
Electronic health records (EHRs) are widely used in epidemiological research, but the
validity of the results is dependent upon the assumptions made about the healthcare system …
validity of the results is dependent upon the assumptions made about the healthcare system …
Controlling for informed presence bias due to the number of health encounters in an electronic health record
BA Goldstein, NA Bhavsar, M Phelan… - American journal of …, 2016 - academic.oup.com
Electronic health records (EHRs) are an increasingly utilized resource for clinical research.
While their size allows for many analytical opportunities, as with most observational data …
While their size allows for many analytical opportunities, as with most observational data …
[PDF][PDF] Data quality in electronic health record research: an approach for validation and quantitative bias analysis for imperfectly ascertained health outcomes via …
It is incumbent upon all researchers who use the electronic health record (EHR), including
data scientists, to understand the quality of such data. EHR data may be subject to …
data scientists, to understand the quality of such data. EHR data may be subject to …