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Data analyses were performed based on renal markers as continuous as well as categorical variables, the latter based on the number of high values above certain cutoff limits.
Glucose, TG and TC were each analysed while adjusting for the other two markers as continuous variables.
Likelihood ratios from univariate analyses were used to decide whether to model markers as continuous or dichotomised variables.
The inclusion of ADHD symptom scores, although self-reported, allowed us to analyse the relationship between ADHD and biochemical markers as continuous variables.
In Cox regression analysis, tumour stage was analysed as a categorical variable, and age, BMI and serum markers as continuous variables.
Therefore, in addition to evaluating these markers as continuous variables, we compared the outcomes of cases with low immunostaining (<10%) to those with higher staining (⩾10%).
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In the absence of a candidate cut-off, mRNA markers were examined as continuous variables.
Concordance index was also computed for each marker as continuous variables, PFS as outcome.
None of these expression markers had a significant impact on RFS (taken as continuous variables, or binary variables, with adjustment for tumour staging).
We also evaluated the influence of conjoint marker effects on the incidence of MetS by including pairwise interactions between informative markers expressed as continuous variables.
Next, we evaluated relationships between TDLU involution characteristics and these tumor markers assessed as continuous variables.
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