Chan

Hampson

Kong

Leitgöb

Lofgren

English

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Some challenges of sparse data necessitating strong assumptions in investigating early COVID-19 disease

Norrie, John

Edinburgh Research Explorer

     Edinburgh Research Explorer                                      Some challenges of sparse data necessitating strongassumptions in investigating early COVID-19 diseaseCitation for published version:Norrie, J 2020, 'Some challenges of sparse data necessitating strong assumptions in investigating earlyCOVID-19 disease', EClinicalMedicine, pp. 100499. https://doi.org/10.1016/j.eclinm.2020.100499Digital Object Identifier (DOI):10.1016/j.eclinm.2020.100499Link:Link to publication record in Edinburgh Research ExplorerDocument Version:Publisher's PDF, also known as Version of recordPublished In:EClinicalMedicineGeneral rightsCopyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s)and / or other copyright owners and it is a condition of accessing these publications that users recognise andabide by the legal requirements associated with these rights.Take down policyThe University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorercontent complies with UK legislation. If you believe that the public display of this file breaches copyright pleasecontact openaccess@ed.ac.uk providing details, and we will remove access to the work immediately andinvestigate your claim.Download date: 22. Sep. 2020

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Some challenges of sparse data necessitating strong assumptions in investigating early COVID-19 disease

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