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

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

PLOS ONE, 2015, vol. 10, issue 1, 1-14

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 (

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0114020

DOI: 10.1371/journal.pone.0114020

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