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  1. Aug 2020
  2. academic.oup.com academic.oup.com
    Reflection on modern methods: five myths about measurement error in epidemiological research
    1
    1. ErikStuchly 30 Aug 2020

      van Smeden, M., Lash, T. L., & Groenwold, R. H. H. (2020). Reflection on modern methods: Five myths about measurement error in epidemiological research. International Journal of Epidemiology, 49(1), 338–347. https://doi.org/10.1093/ije/dyz251

      is:article lang:en epidemiology scientific method measurement error research myth data quality misjudgment mismeasurement statistics structure magnitude
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    academic.oup.com/ije/article/49/1/338/5671729
  3. psyarxiv.com psyarxiv.com
    Measuring evidence for mediation in the presence of measurement error
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    1. ErikStuchly 18 Aug 2020

      Laghaie, A., & Otter, T. (2020). Measuring evidence for mediation in the presence of measurement error [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/5bz3f

      is:preprint lang:en mediation measurement error analysis experimental manipulation scientific method methodology statistics indeterminacy modeling Bayesian framework
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    psyarxiv.com/5bz3f/
  4. Jul 2020
  5. twitter.com twitter.com
    Maarten van Smeden on Twitter: "This is a kind reminder that most issues with data (e.g. measurement error, incomplete data, confounding, selection) do *not* disappear just because you have N = ginormous" / Twitter
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    1. ErikStuchly 19 Jul 2020

      Maarten van Smeden on Twitter: “This is a kind reminder that most issues with data (e.g. measurement error, incomplete data, confounding, selection) do not disappear just because you have N = ginormous” / Twitter. (n.d.). Twitter. Retrieved July 19, 2020, from https://twitter.com/MaartenvSmeden/status/1283313496382373890

      is:tweet lang:en data collection measurement error incomplete data confound sample size bad science statistics research
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    twitter.com/MaartenvSmeden/status/1283313496382373890