Sentence examples for the two groups were evaluated from inspiring English sources

Exact(28)

Differences in demographic data and ReHo values between the two groups were evaluated with the independent two-sample t-test function of the Statistical Package for the Social Sciences and REST.

The concordance between initial and final diagnosis and the percentage of wrong diagnosis in the two groups were evaluated.

The two groups were evaluated using the independent sample t test in terms of quantitative variables and chi-square test in terms of categorical variables.

Laboratory parameters of diabetic and kidney functions, ADClow, ADCst, ADCuh, and the OD of AQPs expression in the two groups were evaluated with an independent t test with equal variance.. Correlation analysis between ADCs and OD values of AQPs of the anatomical layers was performed by Pearson's correlation analysis.

All participants of the two groups were evaluated with the Spielberger State-Trait Anxiety Inventory (STAI-Y), Hamilton Anxiety Rating Scale (HAMA), Hamilton Depression Rating Scale (HAMD) and Liebowitz Social Anxiety Scale (LSAS).

The differences between the two groups were evaluated using one-way analysis of variance.

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Similar(32)

In the present study, the five cases of symmetric bilateral incomplete cleft lip from each of the two groups are evaluated: one group with the mucocutaneous flaps and the other with the mucosal flaps.

The difference in tumour size between the two groups was evaluated by analysis of variance.

The change in scores (QOLIE-31 after-QOLIE-31 before) in the two groups was evaluated using a paired Student's t-test.

The effect of protein expression on recurrence-free survival (RFS) or overall survival was analyzed by Kaplan-Meier survival curves, and the significance of differences in survival between the two groups was evaluated by the log-rank test.

To investigate the survival outcomes of these two groups, Kaplan-Meier analysis was performed, and the survival difference between the two groups was evaluated by log-rank test (p = 0.01).

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