Sentence examples for continuous data values from inspiring English sources

Categorical and continuous data values were expressed as frequency (percentage) and mean ± SD, median, and range as appropriate.

For continuous data, values were log-transformed before analysis because they were frequently observed to be positively skewed.

For non-parametric continuous data, values are presented as median [interquartile range] and were compared using the Mann–Whitney U test.

Both measures are a correlation-type index based on continuous data values, but neither index's scale has an interpretation that corresponds to conventional correlation coefficients which take values in the range (-1, 1).

All outcomes of interest were presented as continuous data (mean values and SD or mean changes).

For continuous data mean values were compared using independent samples t- tests.

°Mean difference for continuous data (if value 0 included in CI95% then p > 0.05), °°Age-adjusted OR for categorical data (if value 1 included in CI95% then p > 0.05) CTI was three times more frequent in undocumented migrants (12.8%) than in controls (4.4%, crude OR 3.2 (95% CI 1.4 7.2)).

We described continuous data as median values and IQR or mean values and standard deviation, based on distribution of data.

Categorical data is different from continuous data, where the values of attribute do not follow any natural ordering.

Sleep efficiency, the percent of time asleep while in bed, is also continuous data and higher values indicate better sleep efficiency.

In all analyses with RSA parameters as continuous variables, RSA data values lying outside 1.5 times the interquartile range from the first and the third quartiles were identified as outliers, and they were excluded from the analysis.