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Misclassification bias in estimating clinical severity of SARS-CoV-2 variants - Authors' reply.
Nyberg, Tommy; Ferguson, Neil M; Blake, Joshua; Hinsley, Wes; Bhatt, Samir; De Angelis, Daniela; Thelwall, Simon; Presanis, Anne M.
  • Nyberg T; MRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK. Electronic address: tommy.nyberg@mrc-bsu.cam.ac.uk.
  • Ferguson NM; NIHR Health Protection Research Unit for Modelling and Health Economics, MRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK.
  • Blake J; MRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK.
  • Hinsley W; NIHR Health Protection Research Unit for Modelling and Health Economics, MRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK.
  • Bhatt S; NIHR Health Protection Research Unit for Modelling and Health Economics, MRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK.
  • De Angelis D; MRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK; Statistics, Modelling and Economics Department, UK Health Security Agency, London, UK; Joint Modelling Team, UK Health Security Agency, London, UK; NIHR Health Protection Research Unit for Behavioural Science and Evaluation at t
  • Thelwall S; COVID-19 National Epidemiology Cell, UK Health Security Agency, London, UK.
  • Presanis AM; MRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK.
Lancet ; 400(10355): 809-810, 2022 09 10.
Article in English | MEDLINE | ID: covidwho-2008199
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Prognostic study Topics: Variants Limits: Humans Language: English Journal: Lancet Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Prognostic study Topics: Variants Limits: Humans Language: English Journal: Lancet Year: 2022 Document Type: Article