This paper is in the following e-collection/theme issue:

Population and Public Health Informatics (111) HIV/AIDS/STI Prevention and Care (972) Public (e)Health, Digital Epidemiology and Public Health Informatics (889) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (932) Electronic Health Records (1218) Immunoinformatics and Pathology informatics (13) Tools, Programs and Algorithms (336)

Published on in Vol 16 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58058, first published .
Inferring Population HIV Viral Load From a Single HIV Clinic’s Electronic Health Record: Simulation Study With a Real-World Example

Inferring Population HIV Viral Load From a Single HIV Clinic’s Electronic Health Record: Simulation Study With a Real-World Example

Inferring Population HIV Viral Load From a Single HIV Clinic’s Electronic Health Record: Simulation Study With a Real-World Example

Authors of this article:

Neal D Goldstein1 Author Orcid Image ;   Justin Jones1 Author Orcid Image ;   Deborah Kahal2 Author Orcid Image ;   Igor Burstyn1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Goldstein N. Electronic Health Records in Epidemiology: Appropriate Questions, Common Biases, and Potential Sensitivity Analyses. Current Epidemiology Reports 2025;12(1) View