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How well do covariates perform when adjusting for sampling bias in online COVID-19 research? Insights from multiverse analyses.
Joyal-Desmarais, Keven; Stojanovic, Jovana; Kennedy, Eric B; Enticott, Joanne C; Boucher, Vincent Gosselin; Vo, Hung; Kosir, Urska; Lavoie, Kim L; Bacon, Simon L.
Afiliação
  • Joyal-Desmarais K; Department of Health, Kinesiology and Applied Physiology, Concordia University, 7141 Sherbrooke Street West, Montreal, QC, H4B 1R6, Canada. keven.joyaldesmarais@gmail.com.
  • Stojanovic J; Montreal Behavioural Medicine Centre, CIUSSS-NIM, Montreal, Canada. keven.joyaldesmarais@gmail.com.
  • Kennedy EB; Montreal Behavioural Medicine Centre, CIUSSS-NIM, Montreal, Canada.
  • Enticott JC; Canadian Agency for Drugs and Technologies in Health, Ottawa, Canada.
  • Boucher VG; Disaster and Emergency Management, York University, Toronto, Canada.
  • Vo H; Department of General Practice, Monash University, Melbourne, Australia.
  • Kosir U; Monash Partners, Advanced Health Research and Translation Centre, Melbourne, Australia.
  • Lavoie KL; School of Kinesiology, University of British Columbia, Vancouver, BC, Canada.
  • Bacon SL; Austin Health, Victoria, Australia.
Eur J Epidemiol ; 37(12): 1233-1250, 2022 Dec.
Article em En | MEDLINE | ID: mdl-36335560
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article