Sentence examples for mortality we applied from inspiring English sources

In each of the counties in which we hope to model the relationship between exposure and cardiovascular mortality, we applied the exposure simulator to several individuals to estimate an average exposure value.

To evaluate the effectiveness of the PRISM III score as a severity index for expecting mortality and find important variables influencing mortality, we applied this scoring scale to pediatric neurologic patients admitted to the ICU and analyzed the data statistically.

To account for the potential confounding effect of smoking in the corresponding occupational studies of the effects of DE on lung cancer mortality, we applied sensitivity analyses under alternative scenarios for the smoking prevalence in the occupational cohorts and the respective general populations (reference groups) and for the lung cancer rate ratios of smokers vs. non-smokers.

To further explore the indication of a threshold, especially in the case of the association between PM10 and respiratory mortality, we applied threshold models with a threshold level at 20 μg/m, because this was indicated by the pooled spline curves.

To light up time-dependency of the CMV effect on in-hospital mortality, we applied Cox regression modelling at days 0, 7 and 14 (landmark analysis) considering the same factors thereby including HSV detection according to its occurrence at the three time points.

To investigate the exposure response relationship between O3 and mortality, we applied several modeling structures to daily time-series data on all-cause nonaccidental mortality, weather (temperature and dew point), and O3 pollution levels for the period 1987–2000 for 98 large U.S. urban communities.

To minimize double counting of mortalities, we applied long-term RRs for O3 and PM2.5 based on the same ACS cohort.

For long-term mortality assessment, we applied the relative risk (Pope et al. [ 23]) from the ACS study that is broadly used in HIA studies.

In order to calculate age-standardised cancer incidence and mortality rates, we applied the world standard population according to Ahmad et al [ 14].

To account for the nonlinear and asymmetric relationship between BMI and mortality, we first applied the fractional polynomials [ 31, 32] method.

As specific Dutch mortality data is lacking, we applied a mortality rate of 0.02% for hospitalised children based on the hospitalised mortality rate due to RV infection (as primary diagnosis) observed in England and Wales [ 18].