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Additional file 1: Table S3 shows the slopes of these biomarkers (log 10 transformed concentrations) in patients with and without VAP.
The terminal rate constant was derived from the slope of the natural log transformed concentrations and times on the terminal elimination phase of the decay curve.
Analyses were conducted on natural-log (ln)–transformed concentrations.
We found a moderate positive significant correlation using natural log transformed concentrations (rho = 0.56; p = 0.025).
We compared the log2 transformed concentrations of circulating RNA and miRs in the blood serum of 102 breast cancer patients with their clinical and histopathological data (Table 1).
Correlations between the transformed concentrations of the 27 EDCs in the original data sets were assessed by computing Pearson correlation coefficients.
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Because PBDE and OC concentrations were not normally distributed, we log-transformed concentrations for further analyses.
Regarding the C-peptide analysis, we log-transformed concentrations of C-peptide because the distribution was skewed.
In step 1, we evaluated the association between coffee intake (log transformed) with log-transformed concentrations of individual biomarkers in a multivariable-adjusted linear regression model (described above).
The inhibitory concentrations conferring 50% (IC50), 90% (IC90), and 99% (IC99) growth reduction were inferred from fitting a four-parametric logistic function to the transformed data independent of the log-transformed concentrations.
In the presentation of results, we back-transformed regression coefficients from the analysis of ln-transformed concentrations to facilitate interpretation of results in the original blood lead measurement scale.
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