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The reproducibility of COVID-19 data analysis: paradoxes, pitfalls, and future challenges
In the midst of the COVID-19 experience, we learned an important scientific lesson: knowledge acquisition and information quality in medicine depends more on “data quality” rather than “data quantity.” The large number of COVID-19 reports, published in a very short time, demonstrated that the most a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896906/ https://www.ncbi.nlm.nih.gov/pubmed/36741433 http://dx.doi.org/10.1093/pnasnexus/pgac125 |