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  1. Jul 2020
  2. osf.io osf.io
    Political trust during the Covid-19 pandemic: Rally around the flag or lockdown effects?
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    1. ErikStuchly 15 Jul 2020

      Schraff, D. (2020). Political trust during the Covid-19 pandemic: Rally around the flag or lockdown effects? [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/pu47c

      is:preprint lang:en COVID-19 government trust political support lockdown measure intensity political institution collective angst cognitive evaluation household survey dynamics pre-existing time trend modeling explanatory power
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    osf.io/preprints/socarxiv/pu47c/
  3. twitter.com twitter.com
    Maarten van Smeden on Twitter: "Let's talk about the "risk factors" for COVID-19 for a moment 1/n" / Twitter
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    1. ErikStuchly 11 Jul 2020

      Maarten van Smeden on Twitter: “Let’s talk about the ‘risk factors’ for COVID-19 for a moment 1/n” / Twitter. (n.d.). Twitter. Retrieved July 11, 2020, from https://twitter.com/maartenvsmeden/status/1249702560442785794

      ann:tweet lang:en COVID-19 risk factor predictive power explanatory power conflation epidemiology definition usefulness covariate diagnosis uncertainty distinction
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    twitter.com/maartenvsmeden/status/1249702560442785794
  4. twitter.com twitter.com
    Darren L Dahly, PhD on Twitter: "Share this with whoever needs to hear it: "risk factors", even strong ones that are robustly identified, are almost never useful for making actionable predictions, especially when considered in isolation. TLDR: [Big OR] does not equal [Good, Useful, or Easy Decision]" / Twitter
    1
    1. ErikStuchly 11 Jul 2020

      Darren L Dahly, PhD on Twitter: “Share this with whoever needs to hear it: ‘risk factors’, even strong ones that are robustly identified, are almost never useful for making actionable predictions, especially when considered in isolation. TLDR: [Big OR] does not equal [Good, Useful, or Easy Decision]” / Twitter. (n.d.). Twitter. Retrieved July 11, 2020, from https://twitter.com/statsepi/status/1249680569463721984

      is:tweet lang:en risk factor prediction identification explanatory power context
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    twitter.com/statsepi/status/1249680569463721984
  5. projecteuclid.org projecteuclid.org
    To Explain or to Predict?
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    1. ErikStuchly 11 Jul 2020

      Shmueli, G. (2010). To Explain or to Predict? Statistical Science, 25(3), 289–310.

      is:article lang:en modeling statistics theory testing causality prediction explanatory power predictive power conflation distinction philosophy of science
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    projecteuclid.org/euclid.ss/1294167961