Selected article for: "quality analysis and statistical analysis"

Author: Collins, Gary S; Ma, Jie; Dhiman, Paula
Title: There are no shortcuts in the development and validation of a covid-19 prediction model.
  • Cord-id: 82vq5vod
  • Document date: 2020_9_13
  • ID: 82vq5vod
    Snippet: A recent living systematic review has identified 145 covid-19 prediction models published up until May 2020, to support clinical decision-making during the global covid-19 pandemic (Wynants et al., 2020). Despite this surge in developing prediction models, the systematic review concluded that all these models are at high risk of bias citing concerns regarding poor data quality, flaws in the statistical analysis and incomplete or poor reporting.
    Document: A recent living systematic review has identified 145 covid-19 prediction models published up until May 2020, to support clinical decision-making during the global covid-19 pandemic (Wynants et al., 2020). Despite this surge in developing prediction models, the systematic review concluded that all these models are at high risk of bias citing concerns regarding poor data quality, flaws in the statistical analysis and incomplete or poor reporting.

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