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HtTKV, albumin/Cr, and AGT/Cr were log-transformed to fulfill the requirement of normal distribution of residuals.
Albumin/Cr and NAG/Cr were log-transformed to fulfill the requirement of normal distribution of residuals.
Urinary concentrations of biomarkers were log-transformed to fulfill the requirement of normal distribution of residuals To evaluate the association between each urinary biomarker and renal functional and structural markers, a linear regression analyses were performed.
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For most of the outcome variables the ANOVA requirements of normal distribution, homogenous variances and homogeneous correlations were fulfilled.
Prior to all analyses, data were checked to meet requirements of normal distribution and homoscedasticity.
The data was within the requirements of normal distribution, thus no data transformations were necessary.
u is the expectation of normal distribution, and σ2 is the variance of the normal distribution.
All samples were subject to the principle of normal distribution.
A Gaussian fit describes the data consistently, fulfilling the requirement of a normal distribution (Supporting Information Fig. S2).
Data were log transformed to fulfill the ANOVA requirements of homoscedastic normal distribution of residuals.
Non-Gaussian distributions are represented as a sum of normal distributions.
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