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We then used linear regression models to model the relation between each outcome and political persuasion.
Differences in rank order between each outcome and population density were calculated for each ansector, and these rank order differences divided into quintiles to categorise ansector outcomes.
The results of the multivariable model to distinguish between each outcome and the absence of cancer or any adenoma (the referent category) are shown in Table 2.
First, to obtain a visual characterization of the relationship between each outcome and average monthly concentration levels during each pregnancy trimester as well as during the entire pregnancy, we used a SAS macro to include a restricted cubic spline (RCS) function for the exposure as a continuous variable in the logistic and linear regression models [ 17].
Farm management practices investigated included herd size, type of ventilation, stocking density, implementation of an all-in-all out system, separation of age groups, bringing gilts onto the farm, etc. Univariable analysis was initially performed between each outcome and each explanatory variable.
The first model assessed the degree of association between each outcome and neighbourhood socioeconomic quintiles, adjusted for participants' gender and age (with the latter fitted as both linear and square terms to account for curvilinear associations between weight status and age).
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sd-HRs reflect the relative association between the cumulative incidence (probability) of each outcome and the different exposure levels.
We examined the associations between each outcome measure and the facility location, and we tested the statistical significance of these associations using chi-square statistics.
In order to account the confounding factors discussed above, we show in Figure 1 both the unadjusted and adjusted associations between each outcome variable and the index of unhealthy lifestyles.
First, we looked separately at the relationship between each outcome variable and each of the intervention exposure variables in univariate regression analyses.
We then evaluated the set relationships between each intermediate outcome and the PO practices or characteristics designed to address each intermediate outcome.
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