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The raw data and the quartile normalized mean data with background subtraction has been deposited in GEO with accession# GSE24084.
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For both groups, the percentile distribution of the data was calculated and the quartile ranges are shown (Table 2).
Then, the lower quartile value is the median of the lower half of the data (qlow) and the upper quartile value is the median of the upper half of the data (qup).
Clinical and laboratory data for the quartiles based on serum HIF-1α levels are shown in Table 1.
Clinical and laboratory data for the quartiles based on serum osteoprotegerin levels are shown in Table 2. Age and serum adiponectin levels increased with higher serum osteoprotegerin levels (P = 0.001 and P = 0.002, respectively, in trend tests), and serum 25-hydroxyvitamin D3 levels were significantly lower in the 4th quartile (P =0.002 ).
Figure 1 shows the results of carrying out the reweighting for the Belgian data set, including both the data and reweighted model quartiles, together with the model output for two individual sample parameter sets.
These data and the clinical data were presented in median with quartiles (25th and 75th percentile).
Data are mean±SD for parametric data and median (upper lower quartile) for nonparametric data.
Means (95% CIs) are given for continuous normally distributed data and medians (quartiles) for highly skewed data.
Only two explanatory variables were available at GP level: GP sex (recorded in the original data) and the number of encounters each GP had with patients at risk during the year (calculated from the encounter data and grouped into quartiles).
As the number of days off work or normal activities is likely to follow a skewed distribution we shall transform the data and present the median and inter-quartile ranges for these times.
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