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Utilising identifier error variation in linkage of large administrative data sources
BACKGROUND: Linkage of administrative data sources often relies on probabilistic methods using a set of common identifiers (e.g. sex, date of birth, postcode). Variation in data quality on an individual or organisational level (e.g. by hospital) can result in clustering of identifier errors, violati...
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| Publicado no: | BMC Med Res Methodol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5297137/ https://ncbi.nlm.nih.gov/pubmed/28173759 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-017-0306-8 |
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