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  1. May 2020
  2. www.tandfonline.com www.tandfonline.com
    COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing
    1
    1. Marlene_Wulf 07 May 2020
      in BehSci

      Fenton, N. E., Neil, M., Osman, M., & McLachlan, S. (2020). COVID-19 infection and death rates: The need to incorporate causal explanations for the data and avoid bias in testing. Journal of Risk Research, 0(0), 1–4. https://doi.org/10.1080/13669877.2020.1756381

      is:article lang:en COVID-19 infection death rate data biased testing explanation Bayesian network modeling UK
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    • lang:en
    • death rate
    • biased testing
    • is:article
    • Bayesian
    • data
    • COVID-19
    • modeling
    • UK
    • infection
    • explanation
    • network

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    • Marlene_Wulf

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    tandfonline.com/doi/full/10.1080/13669877.2020.1756381
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