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Thereafter, selected variables for the regression model were tested to evaluate pairwise interaction possibilities, and those variables with interactions were corrected in the main regression model.
A bootstrap procedure based on 1000 bootstrap samples was applied in the main regression model to investigate the stability of coefficients and predictive ability of the variables included in model.
Because this variable was only available for 18 South Island stands (several measurements from pre-1970 North Island stands were not used because it appeared that genetic differences overrode environmental effects in these stands), it could not be included in the main regression model.
Afterward, the selected variables for the regression model were tested to evaluate pairwise interaction possibilities, and those variables with interactions were corrected in the main regression model.
In the main regression model (Table 2), no independent association was found between cardiac deaths and the 2-week estimated risk period.
In addition, to verify any possible confounding effects of variability in the clinical practice from the three centers, a dummy variable about centers was included in the main regression model.
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We have examined this further by treating non-employment, self-employment and missing occupation as three additional 'occupations' when estimating our main regression models.
We have further examined the importance of selection into employment by estimating Heckman selection-adjusted versions of our main regression models, where household structure is assumed to impact employment decisions but not overeducation conditional on employment.
Analysis was conducted separately for each type of infection (LRTI, pneumonia, and sepsis) using 3 main regression models.
Although we adjusted for insurance status and access to routine care in our main regression models, as well as experimented with models based on the latest two waves of the NHANES that included more extensive covariates, there still may exist unmeasured aspects of quality and access that are correlated with race/ethnicity and education.
We investigate further along these lines by including measures of years in employment and education as controls in the main OLS regression model.[26] The results are shown in Table 7.
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