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Because of the skewed deviation, values for albuminuria and proteinuria are given as medians and interquartile ranges.
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The standard error estimate (Root Mean square Error term in the model) used for testing differences between group means was obtained from the residuals of the linear fit for all the data and this minimized the effect of skewed standard deviation estimates from measurements close to the boundary values.
The next step of the filtering strategy implemented a peak-calling strategy to distinguish between segments with bimodal BAF clusters, segments with skewed unimodal BAF deviations and constitutive regions of homozygosity (Supplementary Material, Computational Filtering).
Normally distributed data were expressed as the mean ± standard deviation, while skewed data were expressed as the median with interquartile range.
Continuous variables are presented as mean ± standard deviation (SD), skewed variables are presented as median (boundaries of interquartile range, IQR) and categorical variables are presented as percentages.
Continuous values are expressed as the mean ± standard deviation – except for skewed distributions (skewness <-2 or skewness >2), where the median and interquartile range are reported.
Normally distributed variables are summarized using means and standard deviations, while skewed variables are reported using medians and interquartile ranges (IQR).
Normally distributed data were presented as mean and standard deviations, whereas skewed distributed data were presented as medians with a range.
In addition, the mean value and standard deviation for this skewed RD distribution are 3.988 and 3.259 Å, respectively.
All data are expressed as mean ± standard deviation (SD), and skewed variables are presented as median and interquartile ranges.
Also the scale scores were negative skewed distributed, with a significant deviation from a normal distribution (p < 0.01).
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