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However, a simulation study suggested that improved exposure prediction may not always improve health effect estimation (Szpiro et al. 2011).
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Thus, expanded model predictions of physical exposures during computer use should be used rather than task-based predictions to improve exposure assessment for future epidemiological studies.
Future studies should focus on improving exposure measurements, e.g., estimating or measuring traffic-related pollutants near homes and schools, and including time/activity patterns in the prediction models.
Our results showed that adding information on self-reported occupational noise exposure improved the prediction of tinnitus somewhat.
Exposure prediction model.
Calibration of historical exposure predictions could be improved if multiple biomonitoring data were obtained in the same participant over a period of time.
Thus, repeated assessment of the exposure variable improved prediction of our outcome.
Using 0, 2, and 3 h postdose as limited sampling model resulted in significantly improved prediction of tacrolimus exposure compared with trough concentration.
O38 ETCO 2 improved outcome prediction of mechanical ventilation weaning.
Thus it improved the prediction of genetic structure only marginally.
Although these parameters have improved miRNA prediction, this prediction has not been tested in experimental settings.
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