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Our risk estimates were derived primarily by using single pollutant models.
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Our relative risk estimates were derived primarily by using single-pollutant conditional logistic regression models.
We compared power estimates for each pollutant for analyses using single pollutant and two-pollutant models, using the risk ratios from the single and two-pollutant models for the observed data.
All air pollutants had significant effects on YLL when using single pollutant models, but the effect estimates decreased when multiple pollutants were included in the models.
All air pollutants had significant effects on years of life lost when we used single pollutant models.
In air pollution epidemiology, traditionally, health risks were assessed by estimated effects of one or several monitored pollutants using single-pollutant models.
Start by using single-spaced, block paragraphs.
Correspondingly, when we used single-pollutant models instead of multiple-pollutant models in the first stage, results were generally similar.
Finally, risk estimates were calculated by using a single pollutant model, given the general collinearity between the pollutants.
Many previous studies have been conducted using single metal pollutants and single aquatic plants21,22,24,28,29.
Statistical analyses were performed using single and multi-pollutant approaches through logistic and Cox regression analyses with elastic net penalty.
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