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Framework to aid analysis and interpretation of ongoing COVID-19 research [version 1;peer review: awaiting peer review]
Wellcome Open Research ; 2020.
Article in English | ProQuest Central | ID: covidwho-833219
ABSTRACT
The global coronavirus pandemic has precipitated a rapid unprecedented research response, including investigations into risk factors for COVID-19 infection, severity, or death. However, results from this research have produced heterogeneous findings, including articles published in Wellcome Open Research. Here, we use ethnicity, obesity, and smoking as illustrative examples to demonstrate how a research question can produce very different answers depending on how it is framed. For example, these factors can be both strongly associated or have a null association with death due to COVID-19, even when using the same dataset and statistical modelling. Highlighting the reasons underpinning this apparent paradox provides an important framework for reporting and interpreting ongoing COVID-19 research.

Full text: Available Collection: Databases of international organizations Database: ProQuest Central Document Type: Article Type of study: Prognostic study / Risk factors Language: English Journal: Wellcome Open Research Clinical aspect: Etiology Year: 2020

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Full text: Available Collection: Databases of international organizations Database: ProQuest Central Document Type: Article Type of study: Prognostic study / Risk factors Language: English Journal: Wellcome Open Research Clinical aspect: Etiology Year: 2020
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