Sentence examples for achieving normality from inspiring English sources

Lactate presented a much slower normalization rate decreasing significantly at 6 h compared to that of baseline (4.0 [3.0 to 4.9] vs. 2.7 [2.2 to 3.9] mmol/L; p < 0.01) but with only 52% of patients achieving normality at 24 h.

Recovery: Interrupted living, Suffering weakness, Gradual recovery, Achieving normality.

We analyzed the data using a nonparametric approach because of the existence of zeros (nondetects) and values below the MDL that prevented a transformation from achieving normality.

Normal probability plots of the z-scores for each grouping and for each gestational age within each grouping show that the LMS method has largely succeeded in achieving normality.

A community-based cardiologist pointed out: "You're trying to balance achieving normality in whatever parameters you're treating, against their ability to achieve normality, whether it's limited by side effects or interactions with other diseases".

Lactate presented a much slower normalization rate decreasing significantly at 6 h compared to that of baseline (4.0 [3.0 to 4.9] vs. 2.7 [2.2 to 3.9] mmol/L; p < 0.01) but with only 52% of patients achieving normality at 24 h.

Dependent variables were ln transformed (all hormones, hormone ratios, and semen volume), cubic-root transformed (sperm concentration, total sperm count), squared (progressively motile), or square-root transformed (morphologically normal) to achieve normality of distribution of the residuals.

If data did not appear to be normally distributed, we tried to achieve normality by transforming the data (log scale and cubic transformation).

Using the lumi pipeline, the background was corrected with the bgAdjust.affy package, and the data were quantile-normalized and log2-transformed to achieve normality.

Statistical analyses of dS, dN, and dN/dS distributions were performed with Jmp 5.0 (SAS Inc .. Non-normal distributions were -log transformed to achieve normality for subsequent determination of significance, but all confidence intervals are reported for the untransformed distributions to keep values in a relevant scale for comparison.

In cases here and below where the data were not normally distributed, either transformations were used to achieve normality before running the ANOVA or non-parametric tests were used.