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The difference between means of continuous variables was tested by "t" tests and associations between categorical variables by chi-squared and Fishers's exact test as appropriate.
Differences between means of continuous variables including age, height, weight, body surface area, body mass index and joint parameters were evaluated with Student's t-test.
Differences between means of continuous variables were tested by Student t test.
Student t test was used to compare differences between means of continuous variables.
Differences between means of continuous variables were tested by ANOVA and by the Student's t-test.
Comparisons between means of continuous variables were conducted using Analysis of Variance, with age as a covariate and with Bonferroni adjustment for multiple comparisons.
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For statistical analyses of comparisons between 2 groups, means of continuous variables were compared using Student's t test, and for comparisons among several groups, the F-test with one-way analysis of variance (ANOVA) was conducted.
When comparing means of continuous variables between two groups using a t test, Cohen's d is a useful effect size measure that describes the difference between the means normalized to the pooled standard deviation (SD) of the two groups (see Table 1; Cohen, 1988).
Means of continuous variables were compared between infants with and without ABE using SAS PROC MEANS and PROC T-TEST.
Means of continuous outcome variables were tested with two-tailed Student's t test.
Tests on ranked data -- Ch. 17. Tests on means of continuous data -- Ch. 18. Multifactor tests on means of continuous data -- Ch. 19.
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