Impact of linkage level on inferences from big data analyses in health and medical research: an empirical study

Abstract Background Linkage errors that occur according to linkage levels can adversely affect the accuracy and reliability of analysis results. This study aimed to identify the differences in results according to personally identifiable information linkage level, sample size, and analysis methods t...

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Bibliographic Details

Published in:	BMC Medical Informatics and Decision Making
Main Authors:	Bora Lee, Young-Kyun Lee, Sung Han Kim, HyunJin Oh, Sungho Won, Suk-Yong Jang, Ye Jin Jeon, Bit-Na Yoo, Jean-Kyung Bak
Format:	Article
Language:	English
Published:	BMC 2024-07-01
Subjects:	Directly identifiable information Indirectly identifiable information Linkage levels Accuracy
Online Access:	https://doi.org/10.1186/s12911-024-02586-0