Cargando…
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: | Serio, Clelia Di, Malgaroli, Antonio, Ferrari, Paolo, Kenett, Ron S |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
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 |
Ejemplares similares
-
The role of statisticians in the response to COVID-19 in Israel: a holistic point of view
por: Dattner, Itai, et al.
Publicado: (2022) -
Current Challenges and Pitfalls in Soil Metagenomics
por: Leite, Marcio F. A., et al.
Publicado: (2022) -
COVID-19 control pitfalls and challenges and drivers of SARS-CoV-2 transmission in Zimbabwe
por: Murewanhema, Grant
Publicado: (2021) -
Challenges and Pitfalls in the Management of Rhino-Orbital Mucormycosis in Ophthalmology: A Highlighted Problem in the COVID-19 Era
por: Pakdel, Farzad, et al.
Publicado: (2022) -
Challenges and considerations for reproducibility of STARR-seq assays
por: Das, Maitreya, et al.
Publicado: (2023)