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Editorial
. 2020 Apr 14;20(1):81.
doi: 10.1186/s12874-020-00972-6.

Methodological challenges of analysing COVID-19 data during the pandemic

Martin Wolkewitz  1 , Livia Puljak  2
Affiliations
Editorial

Methodological challenges of analysing COVID-19 data during the pandemic

Martin Wolkewitz et al. BMC Med Res Methodol. .
No abstract available

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Conflict of interest statement

Martin Wolkewitz and Livia Puljak are guest editors of the BMC Medical Research Methodology collection “Methodologies for COVID-19 research and data analysis”. Livia Puljak is a Section Editor of the BMC Medical Research Methodology.

References

    1. World Health Organization (WHO). https://www.who.int/. Accessed 12 Apr 2020.
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    1. Xu B, Kraemer MUG, Xu B, et al. Open access epidemiological data from the COVID-19 outbreak. Lancet Infect Dis. 2020. 10.1016/S1473-3099(20)30119-5. - PMC - PubMed
    1. Timsit J-F, de Kraker MEA, Sommer H, et al. Appropriate endpoints for evaluation of new antibiotic therapies for severe infections: a perspective from COMBACTE’s STAT-net. Intensive Care Med. 2017;43(7):1002–1012. doi: 10.1007/s00134-017-4802-4. - DOI - PMC - PubMed
    1. Wolkewitz M. Avoidable statistical pitfalls in analyzing length of stay in intensive care units or hospitals. Crit Care. 2014;18(1):408. doi: 10.1186/cc13735. - DOI - PMC - PubMed

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