Exemplos de uso de Analysis of quantitative variables em Inglês e suas traduções para o Português
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Analysis of quantitative variables.
Pearson's correlation coefficient was employed in the bivariate analysis of quantitative variables.
The analysis of quantitative variables was performed by means of. .
The Mann-Whitney U test and the Kruskal-Wallis test were used for the analysis of quantitative variables presenting asymmetric data.
We conducted the analysis of quantitative variables by comparing the means and medians.
We used 17 varieties for the analysis of multi-category variables and 16 varieties for analysis of quantitative variables.
For descriptive analysis of quantitative variables mean and standard deviation were used.
Chi-square test was used for comparisons between proportions, and the t-test of Student,was used for the analysis of quantitative variables.
The analysis of quantitative variables with normal distribution was conducted through ANOVA-One Way test.
The analysis of variance F-test orthe Student's t-test was used in the analysis of quantitative variables, whereas the chi-square test was used to analyze categorical variables. .
Analysis of quantitative variables was based on medians and quartiles because data were nonparametric.
The descriptive analysis of quantitative variables was performed using mean, standard deviation, median, quartiles, and interquartiles, minimum and maximum.
Descriptive analysis of quantitative variables was performed by calculating the absolute frequencies, mean and standard deviation.
For the analysis of quantitative variables we used the Student t or Mann-Whitney tests, depending on the distribution' the normality or not.
The analysis of quantitative variables with normal distribution were analyzed using Student's t test and for nonparametric test was used the Mann Whitney test.
For the analysis of quantitative variables was used description of ratios, measures of central tendency and dispersion as standard deviation.
The analysis of quantitative variables involved the observation of minimum and maximum values and calculation of means, standard deviations and medians.
Multivariate analysis of quantitative variables was carried out with linear regression and binary variables were subjected to Poisson regression with robust adjustment, due to the fact that many response variables are not uncommon events.
In the bivariate analysis of quantitative variables Pearson's correlation coefficient was used, and the comparison of means between known groups was used for the analysis between quantitative outcomes and categorical explanatory variables. .
The analysis of quantitative variables was performed by comparing means with previous verification of the normal distributions, using the Student t test and Mann-Whitney test, and for analysis of categorical variables we used the chi-square and chi-square test with Yates' correction 2x2 tables.
Analysis of variance ANOVA was used for the analysis of quantitative variables for continuous data possessing three or more categories, the Dunnett or Bonferrori tests for variables with multiple comparisons and the Student t-test for continuous variables in line with parametric assumptions with a level of significance of 5% p.
For analysis of quantitative variables, we used the Spearman correlation coefficient, analysis of variance ANOVA for continuous data that had three or more categories, the Dunnett or Bonferrori tests for variables with multiple comparisons, and the Student's t-test for continuous variables, conforming to parametric assumptions with the significance level of 5% p.
For the analyses of quantitative variables, we employed measures of central tendency mean, median and dispersion standard deviation, and for the categorical variables we used the Pearson correlation test, with a significance level of 0.05.
Univariate analyses of quantitative variables, associated with the primary outcome, which is mortality, were performed.
The descriptive statistical analysis of the quantitative variables was carried by calculating the median, means, standard deviations and minimum and maximum values.
Intravital microscopy of skinfold chamber preparations allowed quantitative analysis of microvascular variables.
For a comparative analysis of the quantitative variables, Student's t-test was used and, for the qualitative variables, the chi-square test and, when necessary, Fisher's test.