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Masked replicate quality control samples (10% of the samples) were included in each batch to assess coefficients of variation (CVs).
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To assess the coefficients of the controller [c1,1,c2,1], the algorithm was executed for 600 iterations.
For correlated data sets, Pearson's rank correlation was used to assess correlation coefficients and significance.
Spearman's rank order correlation was used to assess correlation coefficients between non-parametrically distributed variables.
We assessed the coefficients of determination of our robust regression models by STATA rregfit command.
Comparing median step counts or assessing correlation coefficients over-estimates agreement between pedometer and accelerometer data.
Repeatability was assessed using coefficients of variation obtained from five repeats of assays.
The significance of each coefficient was computed by assessing the coefficient ratio against the t-distribution using the summary.glm function.
Repeatability and reproducibility were assessed by coefficient of variation (CoV) and intraclass correlation coefficient (ICC), based on 2-way random-effects analysis of variance.
Correlation coefficients assess the association between two continuous distributions.
In the first step we included renal function alone to assess the unadjusted coefficients of association.
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