Cargando…
Evaluating bias due to data linkage error in electronic healthcare records
BACKGROUND: Linkage of electronic healthcare records is becoming increasingly important for research purposes. However, linkage error due to mis-recorded or missing identifiers can lead to biased results. We evaluated the impact of linkage error on estimated infection rates using two different metho...
Autores principales: | Harron, Katie, Wade, Angie, Gilbert, Ruth, Muller-Pebody, Berit, Goldstein, Harvey |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4015706/ https://www.ncbi.nlm.nih.gov/pubmed/24597489 http://dx.doi.org/10.1186/1471-2288-14-36 |
Ejemplares similares
-
Linkage, Evaluation and Analysis of National Electronic Healthcare Data: Application to Providing Enhanced Blood-Stream Infection Surveillance in Paediatric Intensive Care
por: Harron, Katie, et al.
Publicado: (2013) -
Utilising identifier error variation in linkage of large administrative data sources
por: Harron, Katie, et al.
Publicado: (2017) -
Reflections on modern methods: linkage error bias
por: Doidge, James C, et al.
Publicado: (2019) -
Data linkage errors in hospital administrative data when applying a pseudonymisation algorithm to paediatric intensive care records
por: Hagger-Johnson, Gareth, et al.
Publicado: (2015) -
Probabilistic linking to enhance deterministic algorithms and reduce linkage errors in hospital administrative data
por: Hagger-Johnson, Gareth, et al.
Publicado: (2017)