Clinical Epidemiology
Volume 16, 2024 - Issue
Open access
187
Views
0
CrossRef citations to date
0
Altmetric
ORIGINAL RESEARCH
A Principled Approach to Characterize and Analyze Partially Observed Confounder Data from Electronic Health Records
Janick Weberpals1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USACorrespondence[email protected]
https://orcid.org/0000-0003-0404-7394View further author information
Sudha R Raman2 Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USAView further author information
, Pamela A Shaw3 Biostatistics Division, Kaiser Permanente Washington Health Research Institute, Seattle, WA, USAView further author information
, Hana Lee4 Office of Biostatistics, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USAView further author information
, Massimiliano Russo1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USAView further author information
, Bradley G Hammill2 Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USAView further author information
, Sengwee Toh5 Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
https://orcid.org/0000-0002-5160-0810View further author information
John G Connolly5 Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USAView further author information
, Kimberly J Dandreo6 Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, USA
https://orcid.org/0000-0003-2332-1969View further author information
Fang Tian7 Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USAView further author information
, Wei Liu7 Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USAView further author information
, Jie Li7 Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USAView further author information
, José J Hernández-Muñoz7 Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
https://orcid.org/0000-0002-2553-3159View further author information
Robert J Glynn1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USAView further author information
& Rishi J Desai1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
https://orcid.org/0000-0003-0299-7273View further author information
Pages 329-343
|
Received 19 Aug 2023, Accepted 09 Apr 2024, Published online: 23 May 2024
Reprints and Permissions
Permission is granted subject to the terms of the License under which the work was published. Permission will be required if your reuse is not covered by the terms of the License.
To request a reprint or commercial or derivative permissions for this article, please click on the relevant link below.
For more information please visit our Permissions help page.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.