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  1. Feb 2021
  2. psyarxiv.com psyarxiv.com
    Pairing Facts with Imagined Consequences Improves Pandemic-Related Risk Perception
    1
    1. jasminehollingworth 18 Feb 2021

      Sinclair, A. H., Hakimi, S., Stanley, M., Adcock, R. A., & Samanez-Larkin, G. (2021). Pairing Facts with Imagined Consequences Improves Pandemic-Related Risk Perception. PsyArXiv. https://doi.org/10.31234/osf.io/53a9f

      lang:en is:preprint COVID-19 public health psychology risk perception intervention episodic stimulation prediction error pandemic global spread disease fatigue financial behavior risk guideline salience of risk online belief intention
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    psyarxiv.com/53a9f/
  3. Jun 2020
  4. www.nature.com www.nature.com
    Five ways to ensure that models serve society: a manifesto
    1
    1. edampf 25 Jun 2020

      Saltelli, A., Bammer, G., Bruno, I., Charters, E., Di Fiore, M., Didier, E., Nelson Espeland, W., Kay, J., Lo Piano, S., Mayo, D., Pielke Jr, R., Portaluri, T., Porter, T. M., Puy, A., Rafols, I., Ravetz, J. R., Reinert, E., Sarewitz, D., Stark, P. B., … Vineis, P. (2020). Five ways to ensure that models serve society: A manifesto. Nature, 582(7813), 482–484. https://doi.org/10.1038/d41586-020-01812-9

      is:article lang:en COVID-19 modeling policy uncertainty science prediction error consequences framing hubris unknown advice
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    nature.com/articles/d41586-020-01812-9
  5. bmcmedresmethodol.biomedcentral.com bmcmedresmethodol.biomedcentral.com
    Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional prediction
    1
    1. edampf 03 Jun 2020

      Boulesteix, A., Strobl, C. Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional prediction. BMC Med Res Methodol 9, 85 (2009). https://doi.org/10.1186/1471-2288-9-85

      is:article lang:en error rate estimation classifier negative bias high-dimensional prediction tuning parameter linear discriminant analysis bias source
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    bmcmedresmethodol.biomedcentral.com/articles/10.1186/1471-2288-9-85
  6. ftalphaville.ft.com ftalphaville.ft.com
    Is the “science” behind the lockdown any good?
    1
    1. ErikStuchly 02 Jun 2020

      Is the “science” behind the lockdown any good? (n.d.). Financial Times. Retrieved June 2, 2020, from http://ftalphaville.ft.com/2020/05/21/1590091709000/It-s-all-very-well--following-the-science---but-is-the-science-any-good--/

      is:news lang:en COVID-19 lockdown modeling Imperial policy government prediction accuracy bug error coding
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    ftalphaville.ft.com/2020/05/21/1590091709000/It-s-all-very-well--following-the-science---but-is-the-science-any-good--/