Robustness of evidence reported in preprints during peer review.

Nelson, Lindsay; Ye, Honghan; Schwenn, Anna; Lee, Shinhyo; Arabi, Salsabil; Hutchins, B Ian

Nelson, Lindsay; Ye, Honghan; Schwenn, Anna; Lee, Shinhyo; Arabi, Salsabil; Hutchins, B Ian.

Afiliação

Nelson L; Information School, School of Computer, Data and Information Sciences, College of Letters and Science, University of Wisconsin-Madison, Madison, WI, USA.
Ye H; Department of Statistics, School of Computer, Data and Information Sciences, College of Letters and Science, University of Wisconsin-Madison, Madison, WI, USA.
Schwenn A; Information School, School of Computer, Data and Information Sciences, College of Letters and Science, University of Wisconsin-Madison, Madison, WI, USA.
Lee S; Information School, School of Computer, Data and Information Sciences, College of Letters and Science, University of Wisconsin-Madison, Madison, WI, USA.
Arabi S; Information School, School of Computer, Data and Information Sciences, College of Letters and Science, University of Wisconsin-Madison, Madison, WI, USA.
Hutchins BI; Information School, School of Computer, Data and Information Sciences, College of Letters and Science, University of Wisconsin-Madison, Madison, WI, USA. Electronic address: bihutchins@wisc.edu.

Lancet Glob Health ; 10(11): e1684-e1687, 2022 11.

Article em En | MEDLINE | ID: mdl-36240832

Assuntos

Pesquisa Biomédica; COVID-19; COVID-19/epidemiologia; Surtos de Doenças; Humanos; Pandemias; Revisão por Pares

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pesquisa Biomédica / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Lancet Glob Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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