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We tested each of the individual variables shown in Tables 1 and 2 with an association to asthma to determine whether confounding reduced the pollution coefficient by ≥ 5%.
Some of the variables that had an association with asthma were not confounders because they exerted little or no effect on the pollution coefficient.
We evaluated pollution exposures with other covariates such as relative humidity and medical insurance, which we treated as confounders if they had an association with asthma incidence and changed the pollution coefficient by ≥ 5% for the annual NO2.
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The fuel costs and pollution coefficients for the generating units are given in Table 1 and 2, respectively.
First, the input data required by the program are entered in detail: the power system configuration, operating characteristics of the generating units, and pollution coefficients for each generating unit.
While air pollution coefficients appeared to be different across trials, power was low to formally test heterogeneity.
In previous studies, we found that spatial autocorrelation in the residuals could affect the size and significance of pollution coefficients (Jerrett et al. 2003a).
Our modeling procedure used a sensitivity analysis similar to the method described by Dominici and colleagues [ 26] to select the optimal degrees of freedom for the smoothed function of time; to minimize bias in the estimates of the pollution coefficients.
The results demonstrated the analytical tidal prism model that offers an accurate method of estimating the pollution exchange coefficient over a wide range of tidal regimes.
Software developed by National Environmental Engineering Research Institute (NEERI) for the determination of optimal width of a GB in and around an industry is based on pollution attenuation coefficient of selected plant species of deciduous trees existing in the region.
Comparison of the pollution regression coefficients indicated that, in general, EC and many of the other species that contribute significantly to PM2.5 mass, including OC, NO3, and Zn, all demonstrated higher excess risks than PM2.5 mass.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com