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Differences in the demographic and clinical characteristics of patients with and without toxicity were tested using t-tests (continuous variables) or Fisher's exact test (discrete variables).
Groups of subjects were compared using the Mann–Whitney U-test (continuous variables) or using Pearson's χ-test or Fischer's exact test (discrete variables).
The patients with renal dilatation and proteinuria were compared with the cases without proteinuria by Chi square test (discrete variables) and Student's t-test (continuous variables).
Continuous variables were described as median (interquartile range (IQR)) and compared by the Mann-Whitney U test; discrete ones were expressed as counts or percentages and analyzed by the chi-square test.
Statistical analysis was performed with Kruskal-Wallis & Mann-Whitney test (continuous variables), chi squared & Fischer exact test (discrete variables), Spearman coefficient (univariate analysis) and step-wise backward method (multivariate analysis).
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We will empirically test discrete-state and continuous model predictions using a task similar to eyewitness ID.
We also caught the social network testing discrete notifications rather than the tagging friends feature.
Clinical factors were compared between the CD44v9-positive and CD44v9-negative groups, miR-21-higher and miR-21-lower groups, and PDCD4-higher and PDCD4-lower groups using the Student's t-test (continuous variables) or the χ-test (discrete variables).
Differences in risk factors and CT protocols between subjects from the subcohort to various case-groups were tested with Chi-squared tests (discrete variables) and one-way ANOVA (continuous variables).
The comparisons were made with the use of Wilcoxon tests (or Kruskal-Wallis tests) for continuous variables and χ tests (or Fisher exact tests) for discrete variables.
We used Fisher's exact tests for discrete data, t-tests for age differences and Spearman correlations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com