Methodological challenges of analysing COVID-19 data during the pandemic

Martin Wolkewitz¹, Livia Puljak²

Affiliations

¹ Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, 79104, Freiburg, Germany.
² Center for Evidence-Based Medicine and Health Care, Catholic University of Croatia, Ilica 242, 10000, Zagreb, Croatia. livia.puljak@unicath.hr.

PMID: 32290816
PMCID: PMC7154065
DOI: 10.1186/s12874-020-00972-6

Editorial

Methodological challenges of analysing COVID-19 data during the pandemic

Martin Wolkewitz et al. BMC Med Res Methodol. 2020.

. 2020 Apr 14;20(1):81.

doi: 10.1186/s12874-020-00972-6.

Authors

Martin Wolkewitz¹, Livia Puljak²

Affiliations

¹ Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, 79104, Freiburg, Germany.
² Center for Evidence-Based Medicine and Health Care, Catholic University of Croatia, Ilica 242, 10000, Zagreb, Croatia. livia.puljak@unicath.hr.

PMID: 32290816
PMCID: PMC7154065
DOI: 10.1186/s12874-020-00972-6

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.

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References

1. World Health Organization (WHO). https://www.who.int/. Accessed 12 Apr 2020.
1. The Lancet COVID-19: fighting panic with information. Lancet. 2020;395(10224):537. doi: 10.1016/S0140-6736(20)30379-2. - DOI - PMC - PubMed
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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Methodological challenges of analysing COVID-19 data during the pandemic

Affiliations

Methodological challenges of analysing COVID-19 data during the pandemic

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Conflict of interest statement

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