Exemplos de uso de Interquartile range IQR 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
Data were shown as median and interquartile range IQR.
The data were presented as median and interquartile range IQR if not normal, and as mean with standard deviation SD if normal, according to the Kolmogorov-Smirnov test.
Data were reported as median and interquartile range IQR.
Quantitative variables were presented as the mean andstandard deviation SD or the median and interquartile range IQR.
Central tendency was expressed in median and interquartile range IQR as the sample distribution was non-parametric.
Results of testing were finally expressed as median and interquartile range IQR.
The mean age of patients was 75 years[interquartile range IQR 68-82 years], 87.1% 27 were men and 12.9% 4 were women.
Continuous data were presented as median and interquartile range IQR.
CRP values were described as median and interquartile range IQR and compared between groups by the non-parametric Mann-Whitney test.
Non-parametric variables were expressed as median and interquartile range IQR.
Continuous variables are reported as the median and interquartile range IQR after normality was assessed using the Kolmogorov-Smirnov test.
Nonparametric continuous data were described as median and interquartile range IQR.
Descriptive analyses were presented using medians and interquartile range IQR for the non-normally distributed and ordinal variables.
Variables not following a normal distribution are expressed as median and interquartile range IQR.
Descriptive statistics included median and interquartile range IQR %25-%75 for the numerical data, numbers and percentages for categorical data.
Values are expressed as the mean,standard deviation SD, interquartile range IQR, or numbers.
Quantitative variables were expressed as mean and standard deviation, and those with asymmetric distribution,as median and interquartile range IQR.
Results are presented as mean± standard deviation SD or by median and interquartile range IQR, for normal or non-Gaussian distributions, respectively.
Results were expressed as mean± SD if numbers had a normal distribution or, alternatively,as median and interquartile range IQR.
Continuous and ordinal variables were expressed as median and interquartile range IQR, whereas categorical variables were expressed as proportion and 95% CI.
Most patients were males[26/43 60,5%] with a median age of 44.0 interquartile range IQR =19.
The descriptive variables were presented as median and interquartile range IQR, and analyzed by Mann Whitney test because of the absence of normal distribution.
Continuous variables are presented as mean± standard deviation SD if normally distributed or median and interquartile range IQR if nonparametric.
Descriptive and nonparametric statistical analyses were performed[median and interquartile range IQR] and association tests chi-square and Fisher's exact test as appropriate, adopting as significance level a p-value of.
Data with normal distribution are expressed as mean± standard deviation SD,while those with non-normal distribution are shown as median and interquartile range IQR.
The analysis included estimating the mean, standard deviation SD,median, interquartile range IQR, absolute and relative frequencies.
For measures of central tendency of parametric numerical variables, we used the mean and standard deviation.For non-parametric variables we used the median and interquartile range IQR.
Quantitative variables were expressed as mean± standard deviation SD or median and interquartile range IQR, depending on the normality of the data.
The qualitative variables were displayed using frequencies and percentages whereas the quantitative variables were displayed using the standard deviation mean± sd or median and interquartile range IQR.
Quantitative data were expressed as mean± standard deviation or as median and interquartile range IQR. Qualitative data are expressed as n and% of all cases.