Several variables were significant in these univariable models, which were not significant in the final multivariable model presented in Table 4.
The selection of the final multivariable model presented was the one with the better fit in terms of deviance, the one with the smallest -2-log likelihood.
The deviance (that is minus twice the log likelihood) for the multivariable model presented was 520.6, whereas the deviance for the model with only an intercept (i.e., no effects of fever or time from onset to arrival) was 532.5.
c +, positive association, 95% confidence interval (CI) does not include 1. dEmpty cell reflects no association, 95% CI includes 1. aReflects probability of use of herbicide active ingredient based on NCI Pesticide Exposure Matrix [ 21]. bObserved reflects statistical significance of association from multivariable regression models presented in Table 4.
The four weed-herbicide combinations with <10% probability were not significantly associated.> -wrap-foot>> -wraReflectsaReflects probability of use of insecticide active ingredient for year 2000, based on NCI Pesticide Exposure Matrix [ 21]. bObserved reflects statistical significance of association from multivariable regression models presented in Table 3.
In the multivariable models we present, the interpretation of the neighborhood disadvantage covariate is the difference in odds of receiving therapy between children from a more socially disadvantaged neighborhood category to those from the preceding less socially disadvantaged one (e.g., disadvantaged versus moderate disadvantaged).
Further discussion is presented below, and adjusted estimates of relative risks from multivariable models are presented in the companion paper [ 15].
Results of multivariable models are presented as adjusted odds ratios with 95% confidence intervals.
In the following, the results of the multivariable models are presented.
In this way, five different multivariable models are presented for OM, six for CVM, and four for N-VM, respectively.
