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However, lower accuracy exposure data derived from sampling survey and remote sensing can still provide a comparative overview of estimated loss.
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These results clearly show that time activity patterns during pregnancy must be taken into account to improve the accuracy of exposure measurements and reduce exposure misclassification (Ritz and Wilhelm 2008).
The statistical power to precisely estimate subtle effects between chemicals and human health may be limited by sample size, the accuracy of exposure assessment methods (e.g., nondifferential exposure misclassification), or multicollinearity issues due to correlations among chemicals in the mixture (i.e., inflated variance estimates) (Cox et al. 2015; Braun et al. 2014).
Differing exposures at home compared to work/school also decreases the accuracy of exposure assessment.
This semi-quantitative information is used to improve the accuracy of exposure characterizations and identify individuals and populations at highest risk for exposure.
The other limitation of the study pertains to the accuracy of exposure assessment since arsenic levels in the well water may not reflect individual exposure.
The results highlight the importance of characterizing exposures at the individual level and suggest that measurement timing may affect the accuracy of exposure classification.
Accuracy of exposure estimates may depend on both the precision of the measurements and the performance of the exposure models.
They may also improve the accuracy of exposure models linking emission sources with estimated pollutant concentrations at the residential level.
In western European countries, erosion due to climatically driven processes and human activities is probably the factor that most limits the accuracy of exposure ages and landscape modification rates.
They could therefore challenge the accuracy of exposure assessment.
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