Sentence examples for models to exposure from inspiring English sources

In general, the lack of detailed treatment of radiation-specific effects typically limits risk predictions from long-term models to exposure conditions where a known shape for the early dose response relationship, eg, a linear shape, holds.

Fitting random effects models to exposure data has mainly been practiced in chemical exposure assessment [ 1, 9- 11], but a number of studies have used such models for biomechanical exposures as well [ 3, 4, 6, 12- 14].

Limiting the current model to exposure allowed us to highlight this area of interest while avoiding uncertainties involved in modeling the full course of an infectious disease in a farm population.

We analyse each element along the work process from human mobility, through traffic-related air pollution modelling, to exposure and its implications for public health impact assessment.

The 1 h exposure was considered to be a more realistic model to exposures that would occur in vivo.

Exposure misclassification might be reduced to some degree by developing spatial prediction models to estimate exposures to temperature and ozone at participants' locations.

For example, comprehensive area and personal exposure measurements among a subgroup of the target population can be used to develop exposure models to estimate personal exposures in the absence of personal monitoring data in the larger study population.

These data and selected ancillary information are used in simple algorithms, statistical methods, and models to estimate exposures.

Relatively few studies have used emission and dispersion models to predict exposures to ambient air pollutants.

We developed exposure models to predict individual exposures to ambient carbon monoxide (CO) and fine particulate matter [≤ 2.5 μm in aerodynamic diameter (PM2.5)].

Other methods to adjust for healthy worker effects (Arrighi and Hertz-Picciotto 1994, 1994) consider employment status and exposure lag models to exclude recent exposure.