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

Christopher T RentschKatie HarronMark UrassaJim ToddGeorges ReniersBasia Zaba

Published in: BMC medical research methodology (2018)

Similar to studies with more negligible levels of linkage errors, false matches in this setting reduced the magnitude of the association; missed matches reduced precision. Adjusting for these biases could provide more robust results using data with considerable linkage errors.

Keyphrases

hiv testing
genome wide
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big data
south africa
emergency department
quality improvement
gene expression
high density
machine learning
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hiv infected