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Copeptin was not normally distributed and was transformed using the natural logarithm.
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Latency to reach the food data were right skewed and were transformed using a reciprocal transformation.
Entry effects are predicted using the estimates reported in Tables 3 and 4 and are transformed using (eb-1) as suggested by Halvorsen and Palmquist (1980).
Entry effects are predicted using the estimates reported in Table 4 and are transformed using (eb-1) as suggested by Halvorsen and Palmquist (1980).
Copeptin, insulin, and glucose were not normally distributed and were transformed using the natural logarithm.
Breast volumes and weights were not normally distributed and were transformed using the natural logarithm (ln).
Metabolite concentrations were right skewed and were transformed using the natural logarithm.
Body mass index, WHR, and total breast volume were not normally distributed and were transformed using the natural logarithm (ln).
The frequency distribution of serum hormones (except E2) and urinary BPA concentrations showed skewed (non-normal) distributions and were transformed using the natural log (ln) before analysis.
Outcome variables had nonsymmetric distributions and were transformed using 100*ln of the variable; consequently, β-coefficients represent the percentage of change in the outcome associated with a 1-unit increase in the exposure variable (35).
To ensure normality, cortisol, platelets and white cells count were log10 transformed and FFA was transformed using the square-root.
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CEO of Professional Science Editing for Scientists @ prosciediting.com