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D15.3 - Report real-life exposure profiles from re-analysis of existing HBM mixture data

Authors: Vlaanderen, Jelle; Ottenbros, Ilse; Crépet, Amélie; Trocellier, Louis; Lebret, Erik; Bogers, Rik; Vermeulen, Roel; +2 Authors

D15.3 - Report real-life exposure profiles from re-analysis of existing HBM mixture data

Abstract

This deliverable describes several statistical approaches that provide insights into real-life mixtures. In addition, it provides statistical methods that can be used to gain insight into the determinants of mixture profiles in HBM data. The deliverable provides practical instructions on how to apply the statistical methods using the R language. At each step we provide a demonstration application using a dataset that was simulated to represent a real-life example of HBM data. A brief description of the potential inferences that can be made when applying the methods on real-life data is also provided.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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