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However, their reported coefficients of income and income squared are relatively small.
First, the reported coefficients may not truly differ from zero.
To facilitate comparison with other studies, we also report coefficients of variation (CVs).
Using the reported coefficients, we found an excellent discriminatory power (AUROC=0.922, CI 0.879 to 0.965, figure 1 and table 3).
We report coefficients for log-transformed concentrations multiplied by 100, which can be interpreted as percentage changes (Cole 2000).
Also, reported coefficients between one particular variable and new drug uptake were not always consistent in terms of sign.
In all instances we report coefficients with their 95%% confidence intervals and p values for the coefficients for all three models.
The significance of coefficients in this table is based on t-values, and 151 of the 288 reported coefficients differed significantly from zero at p <= 0.05.
Confidence intervals were based on bias corrected percentile score and the reported coefficients are within these confidence intervals, meaning that the found coefficients are significant.
Tran et al. (2010) reported coefficients of 0.21 and 0.16 for glycidamide– and acrylamide Hb adducts, respectively, and Wilson et al. (2009b) reported correlation coefficients of 0.31 and 0.26, respectively.
Furthermore, no previous studies have reported coefficients for the association between abdominal obesity and HRQOL in a fully adjusted model, where BMI was even adjusted.
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