Selected article for: "binomial model and negative binomial model"
Author: Marco Travaglio; Rebeka Popovic; Yizhou Yu; Nuno Leal; L. Miguel Martins
Title: Links between air pollution and COVID-19 in England
  • Document date: 2020_4_17
    • ID: lfl7mnd8_13
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04. 16.20067405 doi: medRxiv preprint The correlation between nitrogen dioxide and COVID-19 cases and deaths failed to achieve significance due to data skewness caused by the London Marylebone nitrogen dioxide levels (Supplementary Table 1 ). To account for this skewness, we applied a negative binomial model to this data. This allowed us to .....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04. 16.20067405 doi: medRxiv preprint The correlation between nitrogen dioxide and COVID-19 cases and deaths failed to achieve significance due to data skewness caused by the London Marylebone nitrogen dioxide levels (Supplementary Table 1 ). To account for this skewness, we applied a negative binomial model to this data. This allowed us to model the skewness of the distribution, and re-assess if nitrogen dioxide could be a predictor of COVID-19 using this alternative statistical model.

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