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We report differences in Hb between different subgroups using independent samples T-tests, reporting the mean difference and probability (p).
Clinicopathological parameters were compared between different subgroups using student's t test for continuous variables and chi-square test for categorical variables.
Clinicopathological parameters were compared between different subgroups using one-way analysis of variance (ANOVA) test for continuous variables, chi-square test for unordered categorical variables and nonparametric Kruskal-Wallis rank test for ordinal categorical variables.
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Comparisons of clinical, histological or immunohistochemical data between different subgroups were performed using Student's t-test for unpaired data, as well as the one-way ANOVA.
The difference in allele and genotype frequencies between patients and healthy controls (as well as between different subgroups) were analyzed using χ-tests for 2 x 2 and 2 x 3 tables, respectively, with Fisher's exact test.
To explore statistical HRQOL score differences between different subgroups, the Mann-Whitney-U-test was used.
There were not differences between different subgroups.
An interaction term was used to evaluate significant differences in slopes between different subgroups.
Differences in the predictive algorithm between different subgroups (severity of disease, pulmonary and non pulmonary ARDS) were analyzed using non parametric tests and the ROC-AUC was reported.
The Fisher exact test was used for comparison between different subgroups such as those with VEs and without spinal inflammation or with and without definite radiographic damage and progression.
One-way ANOVA was used to compare means between different subgroups.
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