Data Quality in Electronic Health Record Research: An Approach for Validation and Quantitative Bias Analysis for Imperfectly Ascertained Health Outcomes Via Diagnostic Codes

Data Quality in Electronic Health Record Research: An Approach for Validation and Quantitative Bias Analysis for Imperfectly Ascertained Health Outcomes Via Diagnostic Codes

Bibliographic Details
Main Authors: Neal D. Goldstein, Deborah Kahal, Karla Testa, Ed J. Gracely, Igor Burstyn
Format: Article
Language:English
Published: The MIT Press 2022-04-01
Series:Harvard Data Science Review
Online Access:https://hdsr.mitpress.mit.edu/pub/c68dnpkc

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