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For categorical variables it was the difference between two sample percentages divided by the square root of one-half of the sum of sample percentage #1 × (1-sample percentage #1) and sample percentage #2 × (1-sample percentage #2).
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This phenomenon allows for the comparative length and percentage of shared DNA between two samples to determine the degree of relatedness.
For statistical analysis, the Wilcoxon test was used to compare the percentage of EZH2-positive nuclei between two samples and P < 0.05 was considered statistically significant.
An AS event is quantified based on the difference in the level of inclusion of an exon which is defined as the splice index or Percentage Splicing Index (\ \psi \,score\)) between two samples or conditions and ranges between 0 and 1. PSI represents the inclusion/exclusion of an exon for a transcript isoform considering all alternate possible isoforms.
The percentage of subjects having a positive ANA at a titer ≥320 is shown in Figure 1C, again showing a significant difference between the two sample sets.
Finally, Bland-Altman plots [ 14] were used for assessing the mean bias and the limits of agreement between the two sampling techniques, using protein content and neutrophil percentage.
Bland-Altman plots evaluating agreement between the two sampling techniques using protein content and PMN percentage as efficacy parameters are shown in Figure 4 and 5.
For the Bland-Altman analysis of agreement between the two sampling techniques, with protein content and neutrophil percentage as parameters, we used only simultaneously collected mini-BAL and s-Cath paired samples.
There was no significant difference between the three sample groups in the percentage of total Lactobacillus after Bonferroni correction (p>0.05; see online supplementary figure S6).
These percentages did not differ between the two samples (χ(2)2 = 4.438, p = 0.109).
These percentages were not different between the two samples (χ(2)2 = 0.632; p = 0.729).
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