Sentence examples for for each subject were compared using from inspiring English sources

Exact(1)

In a second level random effects group analysis, individual regionally specific effects of conditions for each subject were compared using a within-subject ANOVA (2×2 design with the factors regulation condition (regulation, no regulation) and valence (negative, neutral) with non-sphericity correction resulting in a t-statistic for every voxel.

Similar(59)

The two groups of subjects were compared using t test for all the visual stimulation pattern.

Analyses were performed with Epi Info™ 2002 Results from patients with SLE and control subjects were compared using the χ2 test for statistical significance.

Case and control subjects were compared using the contingency |2 test for independence or Fisher's exact test depending on the numbers.

Groups of subjects were compared using Wilcoxon rank-sum tests for quantitative variables, and χ tests or Fisher exact test was used for categorical variables.

Baseline characteristics between case patients and matched control subjects were compared using McNemar's χ test for categorical variables and a paired t test for continuous variables.

Differences in baseline characteristics between case patients and control subjects were compared using the paired t-test for continuous variables and the χ-test for categorical variables.

Demographic variables between patients with schizophrenia and control subjects were compared using two sample Student's t-test for continuous variables and chi-square test for categorical variables.

The mean measurements for each subject were compared between the early and late groups using Welch Two Sample t tests (Table 1) with no difference seen.

Subjects' characteristics were compared using Fisher's exact or Chi-squared tests for categorical variables or Kruskal-Wallis test for continuous variables, where appropriate.

The baseline characteristics between study subjects with different outcomes were compared using a chi-square test for categorical variables and t test for continuous variables.

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