Exemplos de uso de Continuous variables were described em Inglês e suas traduções para o Português
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
Continuous variables were described by means±standard deviation.
The prevalences were described in the form of prevalence and continuous variables were described by means and standard deviations.
Continuous variables were described by mean and standard deviation.
For data analysis,descriptive statistics were used to characterize the workers. Continuous variables were described by measures of central tendency and dispersion mean and standard deviation and categorical variables as absolute n and relative% frequencies.
Continuous variables were described as medians and interquartile ranges.
In the statistical analysis, the continuous variables were described as means and standard deviation or median and interquartile range.
Continuous variables were described as means and standard deviations.
In the present study, continuous variables were described by means and standard deviations, whereas nominal and discrete variables by frequencies and percentages.
Continuous variables were described by an average, standard deviation and compared by Student's t test.
The continuous variables were described using mean and standard deviation.
Continuous variables were described as mean± standard deviation and compared using the Kruskal-Wallis test.
The continuous variables were described by means and standard deviations and compared by Student's t test.
Continuous variables were described with maximum and minimum values as well as means and standard deviations.
Continuous variables were described as mean and standard deviation, and as interquartile range when appropriate.
Continuous variables were described as means and standard deviations and were compared using the Student's test.
Continuous variables were described as means and standard deviations, and categorical variables as absolute and relative frequencies.
The continuous variables were described in mean and standard deviation SD and the categorical variables in frequencies and percentages.
The continuous variables were described by mean± standard deviation SD and the categorical variables, by absolute numbers and ratios.
Continuous variables were described in the form of central tendency and dispersion and the categorical variables as percentages.
The continuous variables were described by mean and standard deviation, and the categorical variables, by simple frequency and percentages.
The continuous variables were described as mean± standard deviation and categorical variables expressed in absolute numbers and percentages.
Continuous variables were described in means± standard deviations, and categorical variables were described in absolute and relative frequencies.
Continuous variables were described in means, medians and standard deviation, and categorical variables in absolute and relative frequencies.
Continuous variables were described as means and standard deviation SD; categorical variables were described as frequencies and percentages.
Continuous variables were described as median and interquartile range 25-75 for non-parametric data; and as mean and standard deviation for parametric data.
Continuous variables were described as means and standard deviations and compared using Student's t-test. p-values< 0.05 were considered statistically significant.
Continuous variables were described by means and standard deviation when they showed a symmetric distribution, and by medians and interquartile interval in asymmetric distributions.
Continuous variables were described by means and standard deviations or median, minimum, and maximum values, as appropriate, whereas binary variables were described by proportions.
Continuous variables were described using average, standard deviation or median. Interquartile and categorical ranges were described by absolute and relative frequencies.
Continuous variables were described as means± standard deviations and compared by Student's t-test for independent variables or the Mann-Whitney test, according to their distribution.