2017
DOI: 10.1080/02786826.2017.1306640
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Improved prediction of intersubject variability in extrathoracic aerosol deposition using algebraic correlations

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Cited by 11 publications
(7 citation statements)
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“…Alternatively, these equations have been found to well predict the average deposition of a population (Yang et al 2017). The errors associated with using deposition correlations in a predictive capacity were further analyzed by Ruzycki et al (2017) who proposed a novel approach using the deposition equation to provide an estimate of the variance of deposition expected in a population. Their predictions accurately mirrored the in vivo results of Yang et al (2017) and thus present an approach for a deposition correlation to be used to predict an average and standard deviation of in vivo deposition in a population, as opposed to expected values in individual subjects.…”
Section: Estimating Total In Vivo Deposition Variabilitymentioning
confidence: 99%
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“…Alternatively, these equations have been found to well predict the average deposition of a population (Yang et al 2017). The errors associated with using deposition correlations in a predictive capacity were further analyzed by Ruzycki et al (2017) who proposed a novel approach using the deposition equation to provide an estimate of the variance of deposition expected in a population. Their predictions accurately mirrored the in vivo results of Yang et al (2017) and thus present an approach for a deposition correlation to be used to predict an average and standard deviation of in vivo deposition in a population, as opposed to expected values in individual subjects.…”
Section: Estimating Total In Vivo Deposition Variabilitymentioning
confidence: 99%
“…The details of this analysis are described by Ruzycki et al (2017), so will not be fully described here. In Figure 6.…”
Section: Estimating Total In Vivo Deposition Variabilitymentioning
confidence: 99%
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