Exemplos de uso de Continuous variables were evaluated em Inglês e suas traduções para o Português
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The continuous variables were evaluated by two-tailed paired t test.
Other differences between groups regarding continuous variables were evaluated using Mann-Whitney's non-parametric test.
The continuous variables were evaluated by the difference in means MD.
Normal distribution of data was analyzedusing the Kolmogorov-Smirnov test, differences before vs. after in continuous variables were evaluated using Student's paired t test, whereas unpaired t test was used to evaluate intergroup differences and percentage of change deltas.
All continuous variables were evaluated as to normal distribution D'Agostino and Pearson test.
The associations between continuous variables were evaluated using an analysis of variance ANOVA.
When continuous variables were evaluated, inferences were made using the non-parametric Mann-Whitney test.
The associations among the continuous variables were evaluated with Student's f-test and analysis of variance ANOVA.
Continuous variables were evaluated using paired and unpaired Student's t-test, ANOVA, and non-parametric Mann-Whitney test, all with 5% significance level.
Correlations between continuous variables were evaluated by Spearman's rank correlation coefficient rs.
Continuous variables were evaluated using Student's ttest or a nonparametric test, and categorical variables were analyzed using the chi-square or Fisher exact test when necessary.
Interquartile ranges of continuous variables were evaluated, and the Kruskal-Wallis test was used for nonparametric statistical analysis when comparing values in both groups.
Continuous variables were evaluated by the Student t-test or equivalent non-parametric Kruskal-Wallis test when indicated, and categorical variables by the Chi-square test with Yates's correction or Fisher's exact test when indicated, as well as the t test. For all analyses, a level of significance of 5% á 0.05 was considered significant.
The normal distribution of the continuous variables was evaluated by the Kolmogorov-Smirnov test.
The normality for continuous variables was evaluated by means of the Shapiro-Wilk test.
The distribution of continuous variables was evaluated by Kolmogorov-Smirnov test and one-way Analisys of Variance ANOVA.
Correlation among continuous variables was evaluated using the Spearman test due to the non-normal nature of these variables. .
The difference between continuous variables was evaluated by the Student's t test while the difference between proportions in both groups was evaluated by Fisher's exact test.
Continuous variables were initially evaluated in terms of the criteria of normality.
All continuous variables were previously evaluated for normality using the Kolmogorov-Smirnov test, considering a p>= 0.05 as normal.
For the analysis of variables associated with length of stay, continuous variables were initially evaluated in terms of adhesion to a normal curve using the Kolmogorov-Smirnov test.
Continuous time-dependent variables were evaluated with analysis of variance ANOVA for unbalanced repeated measures and were grouped by outcome survival vs. death and by time since onset.