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The differences in MMR were compared between different groups using two-sample test of Poisson distribution.
These outcome variables are binary outcomes and were summarized by percentage of women who had an outcome, and those differences in proportions were compared between different groups using the Chi-squared test.
The differences of metric variables were analyzed between different groups using a Mann–Whitney U-test, and were compared using a Wilcoxon matched-pairs signed-rank test to compare between before and after HAI.
Categorical data were compared between different groups using the Pearson chi-squared test, and odds ratio using Fisher's exact test.
Analysis was performed between different groups using 2-tailed student's t-test and nonparametric Mann-Whitney U test.
Results were analyzed by either Student t test or ANOVA followed by Tukey test for comparisons between different groups, using InStat3 (GraphPad Software Inc., San Diego, CA).
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Relative protein intensities in each biological replicate were subjected to global statistical analysis (ANOVA, p < 0.05) to reveal significant differences in between the different groups using the corresponding function implemented in the software.
Anthropometric, biochemical, and hormonal variables were compared between the different groups using the Kruskal-Wallis test.
Adjusted hazard ratios (AdHRs) and 95% CIs will be estimated to compare diagnosis of diabetes risks between patients in different groups using Cox proportional hazards models introducing all the variables studied in the bivariate analysis as potential confounders.
At baseline, there were no differences in trabecular or cortical bone morphology between tibiae pertaining to the different groups used in this study (Table 1).
To analyse patient survival compared to FGFR expression, Kaplan Meier survival curves were plotted and the difference in survival between different groups assessed using the log rank test.
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