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In the case of the NHANES self-assessment variable, borderline cases where some models predict a 2 and some predict a 3 should be reflected in the aggregation.
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Nevertheless, some patients have variable and borderline capacities and have been evaluated by researchers as 'marginally competent', 'sufficiently competent' [ 35] or 'borderline competent' [ 36].
The only other variable with borderline statistical significance (HR 0.40; 95% CI 0.17 to 0.99, P = 0.046) was lymph node status in validation cohort-C (Table 4).
Variables with borderline significance, but for which biological plausibility is suspected, were kept in the final model.
Some variables were borderline statistically significant.
However the HPAT- Ireland and LCE combined explanatory variables achieved borderline significance (p = 0.06).
Thus, some variables with borderline significance may be more sensitive to adjustments.
To further unravel the possible sources of disagreement, we studied the inter-rater agreement according to several variables (N=84, borderline excluded).
Variables with borderline significance (p value < 0.1 in univariate analysis) and those thought likely to have a clinical relationship with HIVAN were entered into the multivariate models.
Variables with borderline significance (p value < 0.1 in univariate analysis) and those thought likely to have a clinical relationship with atrial fibrillation, such as cardioprotective medications and blood pressure, were entered into the multivariate models.
The models obtained this way were then improved by including/excluding variables with borderline p values, clinically important confounding factors identified a priori from the literature and those that had statistically significant associations with length-for-age z scores at 6 months of age in the univariable analysis.
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