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To analyze the differences in nominal variables between groups, we performed the χ test.
To assess differences between groups, we performed the Mann-Whitney U test.
To accurately determine the expression differences between groups, we performed absolute quantification to determine the copy number of each miRNA per μl of serum.
To test for differences between groups, we performed logistic regression analyses and took into account the differences in socio-demographic characteristics between both panels by including age, sex, education and self-perceived health status as predictors.
To test for differences in corticosteroid treatment responsiveness between groups, we performed linear regression analyses with change from baseline of each variable as outcome variable and smoking status as the predictor variable and age, gender and type of treatment as covariates.
Similar(55)
To further characterize the relationships between the epithelial and stroma samples and between age groups, we performed Principal Component Analysis (PCA) for all the genes in the arrays (Figure 2A).
For identification of differences between study groups, we performed a two-class unpaired comparison between MetS - and T2DM individuals.
In order to identify microRNAs with statistically significant changes in expression between the groups, we performed a supervised analysis using the SAM algorithm.
In order to identify differentially expressed genes between the groups, we performed a one-way analysis of variance in Partek.
Owing to the variation in weights at baseline between the groups, we performed the analysis after accounting for baseline weight.
To investigate potential differences in bone mechanical competence between the groups, we performed FE analyses on both the whole bone and the trabecular compartment.
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