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

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

Bibliographic Details
Main Author: John Norrie
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:EClinicalMedicine
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537020302431
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spelling doaj-9fd7ae90061d4ae58cf27ab8a4684db52020-11-25T03:12:12ZengElsevierEClinicalMedicine2589-53702020-09-0126100499Some challenges of sparse data necessitating strong assumptions in investigating early COVID-19 diseaseJohn Norrie0Edinburgh Clinical Trials Unit, Usher Institute, Edinburgh EH16 4UX, UKhttp://www.sciencedirect.com/science/article/pii/S2589537020302431
collection DOAJ
language English
format Article
sources DOAJ
author John Norrie
spellingShingle John Norrie
Some challenges of sparse data necessitating strong assumptions in investigating early COVID-19 disease
EClinicalMedicine
author_facet John Norrie
author_sort John Norrie
title Some challenges of sparse data necessitating strong assumptions in investigating early COVID-19 disease
title_short Some challenges of sparse data necessitating strong assumptions in investigating early COVID-19 disease
title_full Some challenges of sparse data necessitating strong assumptions in investigating early COVID-19 disease
title_fullStr Some challenges of sparse data necessitating strong assumptions in investigating early COVID-19 disease
title_full_unstemmed Some challenges of sparse data necessitating strong assumptions in investigating early COVID-19 disease
title_sort some challenges of sparse data necessitating strong assumptions in investigating early covid-19 disease
publisher Elsevier
series EClinicalMedicine
issn 2589-5370
publishDate 2020-09-01
url http://www.sciencedirect.com/science/article/pii/S2589537020302431
work_keys_str_mv AT johnnorrie somechallengesofsparsedatanecessitatingstrongassumptionsininvestigatingearlycovid19disease
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