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Tailoring the Implementation of New Biomarkers Based on Their Added Predictive Value in Subgroups of Individuals

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  • A van Giessen
  • K G M Moons
  • G A de Wit
  • W M M Verschuren
  • J M A Boer
  • H Koffijberg

Abstract

Background: The value of new biomarkers or imaging tests, when added to a prediction model, is currently evaluated using reclassification measures, such as the net reclassification improvement (NRI). However, these measures only provide an estimate of improved reclassification at population level. We present a straightforward approach to characterize subgroups of reclassified individuals in order to tailor implementation of a new prediction model to individuals expected to benefit from it. Methods: In a large Dutch population cohort (n = 21,992) we classified individuals to low (

Suggested Citation

  • A van Giessen & K G M Moons & G A de Wit & W M M Verschuren & J M A Boer & H Koffijberg, 2015. "Tailoring the Implementation of New Biomarkers Based on Their Added Predictive Value in Subgroups of Individuals," PLOS ONE, Public Library of Science, vol. 10(1), pages 1-14, January.
    • Handle: RePEc:plo:pone00:0114020
    DOI: 10.1371/journal.pone.0114020
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    References listed on IDEAS

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