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Multiplicity Eludes Peer Review: The Case of COVID-19 Research
Multiplicity arises when data analysis involves multiple simultaneous inferences, increasing the chance of spurious findings. It is a widespread problem frequently ignored by researchers. In this paper, we perform an exploratory analysis of the Web of Science database for COVID-19 observational stud...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8430657/ https://www.ncbi.nlm.nih.gov/pubmed/34501892 http://dx.doi.org/10.3390/ijerph18179304 |