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How to detect and reduce potential sources of biases in studies of SARS-CoV-2 and COVID-19.
Accorsi, Emma K; Qiu, Xueting; Rumpler, Eva; Kennedy-Shaffer, Lee; Kahn, Rebecca; Joshi, Keya; Goldstein, Edward; Stensrud, Mats J; Niehus, Rene; Cevik, Muge; Lipsitch, Marc.
Afiliação
  • Accorsi EK; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA. eaccorsi@g.harvard.edu.
  • Qiu X; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
  • Rumpler E; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
  • Kennedy-Shaffer L; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
  • Kahn R; Department of Mathematics and Statistics, Vassar College, Poughkeepsie, NY, 12604, USA.
  • Joshi K; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
  • Goldstein E; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
  • Stensrud MJ; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
  • Niehus R; Department of Mathematics, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
  • Cevik M; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
  • Lipsitch M; Division of Infection and Global Health Research, School of Medicine, University of St Andrews, St Andrews, UK.
Eur J Epidemiol ; 36(2): 179-196, 2021 Feb.
Article em En | MEDLINE | ID: mdl-33634345
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / COVID-19 Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur J Epidemiol Assunto da revista: EPIDEMIOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / COVID-19 Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur J Epidemiol Assunto da revista: EPIDEMIOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos