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This study underscores the importance of manual review of data linkages to monitor linkage quality and suggests the need for increased transparency and standardizations in linkage studies.
Data cleaning techniques have minimal effect on linkage quality.
To evaluate linkage quality, three standard metrics were used: precision, recall and F-measure [ 21].
If there was any effect at all, it appeared to decrease linkage quality.
The f-measure was used as the sole measure of linkage quality.
These were each internally linked, with the resulting linkage quality measured.
The links created during this original linkage allowed us to evaluate our linkage quality in comparison.
This gives us a single equation with which we can compare linkage quality.
The linkage process and linkage quality have been described in detail elsewhere [ 22].
This provides a single figure with which linkage quality can be compared.
The linkage strategy was evaluated in terms of blocking efficiency and linkage quality.
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