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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...
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| Vydáno v: | BMC Med Res Methodol |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6511206/ https://ncbi.nlm.nih.gov/pubmed/31077148 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-019-0735-7 |
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