A comparison of methods to generate adaptive reference ranges in longitudinal monitoring

HIGHLIGHTS

  • who: Davood Roshan et al. from the School of Mathematics, Statistics and Applied Mathematics, National University of Ireland Galway, Galwayinformation and are protected under the EU have published the Article: A comparison of methods to generate adaptive reference ranges in longitudinal monitoring, in the Journal: PLOS ONE of November/12,/2020
  • what: This approach for generating reference ranges was implemented by Sottas et. al. to detect athletes with abnormal profile for certain steroids . The authors develop and extend the current Bayesian approaches to generate dynamic personalised reference ranges for longitudinal monitoring of clinical biomarkers to . . .

     

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