4 Matching Annotations
  1. Mar 2021
  2. academic.oup.com academic.oup.com
    Reflection on modern methods: when worlds collide—prediction, machine learning and causal inference
    1
    1. n.parfitt 15 Mar 2021

      Blakely, Tony, John Lynch, Koen Simons, Rebecca Bentley, and Sherri Rose. ‘Reflection on Modern Methods: When Worlds Collide—Prediction, Machine Learning and Causal Inference’. International Journal of Epidemiology 49, no. 6 (1 December 2020): 2058–64. https://doi.org/10.1093/ije/dyz132.

      is:article lang:en prediction machine learning causal inference modelling method best prediction propensity scores IPTWs G computation TMLE potential outcomes epidemiology covariate algorithms
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    academic.oup.com/ije/article/49/6/2058/5531243
  3. Aug 2020
  4. psyarxiv.com psyarxiv.com
    Culture, COVID-19, and Collectivism: A Paradox of American Exceptionalism?
    1
    1. ErikStuchly 03 Aug 2020

      Webster, G. D., Howell, J. L., Losee, J. E., Mahar, E., & Wongsomboon, V. (2020). Culture, COVID-19, and Collectivism: A Paradox of American Exceptionalism? [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/hqcs6

      is:preprint lang:en COVID-19 USA international comparison collectivism case number death rate covariate ethnicity negative correlation regression race big data
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    psyarxiv.com/hqcs6/
  5. Jul 2020
  6. osf.io osf.io
    A Retrospective Bayesian Model for Measuring Covariate Effects on Observed COVID-19 Test and Case Counts
    1
    1. ErikStuchly 24 Jul 2020

      Kubinec, R., & Carvalho, L. (2020). A Retrospective Bayesian Model for Measuring Covariate Effects on Observed COVID-19 Test and Case Counts [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/jp4wk

      is:preprint lang:en COVID-19 covariate effect testing case number modeling retrospective Bayesian data analysis bias forecast big data USA predictor
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    osf.io/preprints/socarxiv/jp4wk/
  7. 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