Reducing defects in the datasets of clinical research studies: conformance with data quality metrics

BACKGROUND: A dataset is indispensable to answer the research questions of clinical research studies. Inaccurate data lead to ambiguous results, and the removal of errors results in increased cost. The aim of this Quality Improvement Project (QIP) was to improve the Data Quality (DQ) by enhancing co...

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Detalles Bibliográficos
Autores principales: Shaheen, Naila A., Manezhi, Bipin, Thomas, Abin, AlKelya, Mohammed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6511206/
https://www.ncbi.nlm.nih.gov/pubmed/31077148
http://dx.doi.org/10.1186/s12874-019-0735-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6511206/
https://www.ncbi.nlm.nih.gov/pubmed/31077148
http://dx.doi.org/10.1186/s12874-019-0735-7

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