Examples of using Multiple comparison test in English and their translations into Portuguese
{-}
-
Colloquial
-
Official
-
Medicine
-
Financial
-
Ecclesiastic
-
Ecclesiastic
-
Computer
-
Official/political
considering the two-factor model for repeated measures complemented by the multiple comparison test.
For samples with parametric distribution, the Variance Analysis ANOVA test was used for repeated measurements with Tukey's multiple comparison test, and, for non-parametric samples, the Friedman's test with Dunn's multiple comparison test were used.
considering the effects of hemorrhage thromboembolism with its subdivisions, according to Wald 's multiple comparison test.
followed by dunn's multiple comparison test.
according to the variance analysis supplemented by the Tukey's multiple comparison test at a 5% significance level.
Two-way ANOVA analysis with Bonferroni's multiple comparison test was used to examine the effect of prenatal stress
more scores. In those situations, Tukey's multiple comparison test was also applied, with a view to identifying statistically significant differences between the groups.
the Tukey multiple comparison test was applied in order to identify pair-by-pair differences between the units.
formula exhibited lower calcium intake than did the control group, according to Dunn's multiple comparison test p< 0.05,
analysis of variance for continuous data of multiple groups, Newman Keuls multiple comparison test for subgroup comparisons, independent t test
Confronting the groups outcomes in pairs using the Tukey Multiple Comparison Test, it was verified difference statistically significant between values of absolute latencies on waves I
Bonferroni's multiple comparisons test was applied.
However, the multiple comparisons test showed the existence of homogeneous spatial conditions p.
The Dunnet multiple comparisons test was applied to identify the experimental groups that differed from the control group.
At this phase, the Analysis of Variance for repeated measures and Bonferroni's multiple comparison tests were used.
If there is a difference in at least one average, a multiple comparisons test is performed.
To identify the differences detected in the ANOVA, a Tukey multiple comparisons test was used.
Consequently, the multiple comparisons tests found no significant differences between C3 CC+HGS+GS
We used the GLM method univariate ANOVA and multiple comparison tests with a Bonferroni correction for the statistical analyses.
Results of multiple comparison tests: comparison between sources for each area