Error rates in a clinical data repository: lessons from the transition to electronic data transfer—a descriptive study

OBJECTIVE: Data errors are a well-documented part of clinical datasets as is their potential to confound downstream analysis. In this study, we explore the reliability of manually transcribed data across different pathology fields in a prostate cancer database and also measure error rates attributab...

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Detalles Bibliográficos
Autores principales: Hong, Matthew K H, Yao, Henry H I, Pedersen, John S, Peters, Justin S, Costello, Anthony J, Murphy, Declan G, Hovens, Christopher M, Corcoran, Niall M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2013
Materias:
Health Informatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3657671/
https://www.ncbi.nlm.nih.gov/pubmed/23793682
http://dx.doi.org/10.1136/bmjopen-2012-002406

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3657671/
https://www.ncbi.nlm.nih.gov/pubmed/23793682
http://dx.doi.org/10.1136/bmjopen-2012-002406

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