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A guide to evaluating linkage quality for the analysis of linked data
Linked datasets are an important resource for epidemiological and clinical studies, but linkage error can lead to biased results. For data security reasons, linkage of personal identifiers is often performed by a third party, making it difficult for researchers to assess the quality of the linked da...
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| Veröffentlicht in: | Int J Epidemiol |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5837697/ https://ncbi.nlm.nih.gov/pubmed/29025131 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/ije/dyx177 |
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