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Height in regression models was, therefore, transformed using a natural log transformation after first adding one to each height to adequately deal with bark volume measurements at the butt (height = 0).
The 2 ∆∆Ct had different variances among genotypes, thus data was analyzed using a natural log (ln) transformation.
Continuous outcome data that were not normally distributed were transformed prior to analysis using a natural log transformation.
Degradation half-lives were calculated using first-order rate kinetics, using a natural log (ln) scale (Vosper et al., 2007).
Non-normally distributed real-time PCR data (detailed in Figure 4) were transformed using a natural log function prior to statistical analysis.
Risk score distributions were assessed for normality using a Shapiro-Wilk test, and attempts made to normalise the data using a natural log transformation.
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Additional models for all outcomes were fit using a natural log-transformation of the exposure as well as the exposure squared.
Therefore, we used a natural log transformation of WML volumes in the analyses.
We used a natural log transformation for all BPA data because urinary BPA concentrations were approximately log-normal, and to minimize the influence of outlying values.
Statistical analysis: Gene expression values were transformed to more closely approximate a normal distribution; for CYP19/CYC and CYP19/total RNA, we were able to approximate normality with a square root transformation and for all others we used a natural log transformation.
In contrast to Straus et al.,[ 1] we used a natural log transformation of the 1990 antisocial scale to reduce its skewness, so that the comparisons would not be overly influenced by outliers.
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