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...

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Detalles Bibliográficos
Autores principales: Gutiérrez-Hernández, Oliver, García, Luis Ventura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8430657/
https://www.ncbi.nlm.nih.gov/pubmed/34501892
http://dx.doi.org/10.3390/ijerph18179304

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