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Explanatory variables with P ≤ 0.1 were selected as potential confounding factors in the final multivariate models, described below as a logistic regression model.
The only statistically significant interaction for gender was with economic activity (P < 0.001), and this interaction was included in the multivariate models described below.
In the multivariate models described above, both parental education and household income levels were evaluated as potential confounders of the relationship between puberty onset and blood lead.
Because several important risk factors other than lead exposure influence blood pressure levels, our BMD models incorporated these potential confounders by using adjusted blood pressure measurements obtained from our multivariate models (described above).
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Linear multivariate models describing association and dissociation rates as well as affinity were developed.
As shown in Fig. 2a, the ROC AUC of the multivariate model described above performed significantly better than the same model without I/T-G in predicting the neurological outcome at hospital discharge (ROC AUC, 0.83 vs. 0.78; P = 0.04).
This analysis used the same multivariate modeling described earlier for mortality, LOS, and costs, using only the subset of patients with a live discharge from the index hospitalization.
Let B denote the 105 × 421 table of miRNA coefficients found in Oslo2 with either the univariate or the multivariate model described above.
Due to this limitation, the clinical characteristics and the multivariate model described in this study should be validated in an external primary-care cohort.
Including high- and low-risk genotype classes and pancreatic insufficiency in the multivariate model described above did not render insignificant any factor or change the HR for death associated with diabetes.
The fit for all ACTG studies and excluding substudies is presented in figures 3 and 4. When the training model based on the first 32 quarters was assessed (table 2), the coefficients were largely similar to the final multivariate model described above.
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