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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2019
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| Materias: | |
| 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 |