Sentence examples for most continuous variables from inspiring English sources

Since most continuous variables were skewed, nonparametric approaches were used in the study.

Most continuous variables were categorised according to medians or quartiles, except for body mass index (≤ or >25 kg/m2), platelets (< or ≥150,000/mm3), AST (< or ≥25 and 30 UI/L for females and males, respectively) and ALT (< or ≥25 and 30 UI/L for females and males, respectively).

Most continuous variables were not normally distributed.

Most continuous variables were not normally distributed and are presented as medians and interquartile ranges (IQR).

As the distribution of most continuous variables was skewed, nonparametric analyses were performed.

Most continuous variables had a normal distribution and were expressed as a mean ± standard deviation of the mean.

Since most of the continuous variables were skewed in distribution, we also used the non-parametric Mann–Whitney U-test or Kruskal-Wallis test to examine differences between groups.

The distributions of most continuous and categorical variables were consistent in each gender, and there was no differential effect.

Most of the continuous variables examined were skewed and the various subsamples had unequal variances and unequal sample sizes.

To evaluate the effect of differences over time, we plotted the means of the most important normalized continuous variables over time (Fig. 1).

Most continuous environmental exposure variables had a long-tailed distribution and we log-transformed and applied a z-transformation to them (mean centered and divided by the SD).