Impact of linkage quality on inferences drawn from analyses using data with high rates of linkage errors in rural Tanzania

Impact of linkage quality on inferences drawn from analyses using data with high rates of linkage errors in rural Tanzania

Abstract Background Studies based on high-quality linked data in developed countries show that even minor linkage errors, which occur when records of two different individuals are erroneously linked or when records belonging to the same individual are not linked, can impact bias and precision of sub...

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Bibliographic Details
Main Authors: Christopher T. Rentsch, Katie Harron, Mark Urassa, Jim Todd, Georges Reniers, Basia Zaba
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Medical Research Methodology
Subjects:
Record linkage
Linkage error
Bias
Data accuracy
HIV
Sub-Saharan Africa
Online Access:http://link.springer.com/article/10.1186/s12874-018-0632-5

Internet

http://link.springer.com/article/10.1186/s12874-018-0632-5

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