How Valuable Are Small Measurement Datasets in Supplementing Occupational Exposure Models? A Numerical Study Using the Advanced Reach Tool.

Both of these sources of model error are likely to be significant for exposure scenarios coded for the purposes of validation from literature sources and, without recourse to original data nor expertise, should be explicitly considered when evaluating model performance in the context of validation studies.

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Firstly, variability in personal exposures may be significant: even for the case studies in this work, where measurement data were of sufficient breadth to support a measurement-based exposure assessment, the uncertainty in the GM and 90th percentile, as characterised by the width of the credible interval from the adapted ART posterior, is non-trivial.

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