Sentence examples for testing of differences in from inspiring English sources

Statistical testing of differences in rates between different ship sizes was conducted using incidence-rate ratio estimation with exact confidence interval estimation in Stata Version 8 (College Station, TX).

To assess whether there was any evidence of systematic imbalance introduced by the randomization procedure, we also undertook formal statistical testing of differences in baseline characteristics between treatment arms using independent samples t tests and Fisher's exact test or chi-squared tests, with significance set at the 5% level.

Testing of differences in relation to time (in the rows of the tables) was checked by the Kruskal-Wallis test and marked with "#" (hash) for P < 0.05 in relation to subgroup 1A; testing of the differences among the control and experimental groups (in the columns of tables) was checked by Mann Whitney test and marked with "*" (asterisk) for P < 0.05.

McNemar testing of differences in sensitivities and specificities showed significance for all paired comparisons.

Consequently, we did not perform formal statistical testing of differences in frequencies of detection (FODs).

We used analysis of covariance (ANCOVA) for testing of differences in OHS and EQ5D index change scores.

For concentration indices of outcomes calculated for exposed and unexposed groups, we also used a t-test of differences in means to test whether these estimates were significantly different from each other.

Additional tests of differences in means between HTIs on each of the exam types found scores differ significantly by training institute (not shown).> -wrap-foot> Inter-quartilerange range; SD: standard deviation.

Tests of differences in means were performed following significant ANOVAs with Tukey's honest significant difference (HSD) test.

The numbers above the boxes give the P-values for the post hoc tests of differences in the general linear mixed models, which included additional fixed and random effects.

All variables are as previously defined */**/*** marks significance at p < 0.10/p < 0.05/p < 0.01 levels, using two-tailed t tests of differences in means.